https://github.com/cognitivetech/llm-research-summaries
summaries of ai research
https://github.com/cognitivetech/llm-research-summaries
ai-literatures ai-research large-language-models llm llm-research summaries summary
Last synced: about 1 month ago
JSON representation
summaries of ai research
- Host: GitHub
- URL: https://github.com/cognitivetech/llm-research-summaries
- Owner: cognitivetech
- Created: 2024-09-13T03:02:18.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-01-17T03:43:08.000Z (4 months ago)
- Last Synced: 2025-04-12T05:59:10.377Z (about 1 month ago)
- Topics: ai-literatures, ai-research, large-language-models, llm, llm-research, summaries, summary
- Homepage:
- Size: 1.48 MB
- Stars: 32
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: history/README.md
Awesome Lists containing this project
README
# LLM Research Summaries
Tracking ideas of interest, along with some background research to remember our context in AI history.
## Contents
- [Contents](#contents)
- [Models Review](#models-review)
- [Prompting](#prompting)
- [Document Processing](#document-processing)
- [Training](#training)
- [Steering](#steering)
- [Retrieval Augmented Generation](#retrieval-augmented-generation)
- [Data Science](#data-science)
- [Code and Tools](#code-and-tools)
- [Interactive Agents](#interactive-agents)
- [Computer Use](#computer-use)
- [Education](#education)
- [Scientific Research](#scientific-research)
- [Social Science](#social-science)
- [AI Psychology](#ai-psychology)
- [Mental Health](#mental-health)
- [Types Predict](#types-predict)
- [Traits Detect](#traits-detect)
- [Future Perspectives](#future-perspectives)
- [Lore](#lore)
- [Historical](#historical)
- [Statistical Language Models (SLMs) Era: 1990-2010](#statistical-language-models-slms-era-1990-2010)## Models Review
- [Shiksha A Technical Domain focused Translation Dataset and Model for Indian Languages](models-review/Shiksha-A-Technical-Domain-focused-Translation-Dataset-and-Model-for-Indian-Languages.md)
- [A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks](models-review/A-Comprehensive-Survey-and-Guide-to-Multimodal-Large-Language-Models-in-Vision-Language-Tasks.md)
- [Deepseek The Quiet Giant Leading China's AI Race](models-review/Deepseek-The-Quiet-Giant-Leading-China's-AI-Race.md)
- [OpenAI o1 System Card](models-review/OpenAI-o1-System-Card.md)
- [Why Worry About Incorrigible Claude](models-review/Why-Worry-About-Incorrigible-Claude.md)
- [Number of Parameters in GPT-4 (Latest Data)](models-review/Number-Parameters-in-GPT-4-Latest-Data.md)
- [Surveying the MLLM Landscape: A Meta-Review of Current Surveys](models-review/MLLM-Landscape_Review-Current-Surveys.md) [MLLM-Survey]
- [Evaluation of OpenAI o1: Opportunities and Challenges of AGI](models-review/evaluation-o1-towards-agi-oportunities-challenges.md) [o1_use-case-eval]
- [What is the Role of Small Models in the LLM Era: A Survey](models-review/small-models_survey.md) [small-llm]## Prompting
- (2025-01) [CALM Curiosity-Driven Auditing for Large Language Models](prompting/CALM-Curiosity-Driven-Auditing-for-Large-Language-Models_2501.02997v1.md)
- (2024-11) [The Grammar of Thought Does Fine-Tuning Make a Difference?](prompting/The-Grammar-of-Thought-Does-Fine-Tuning-Make-a-Difference?.md)
- (2024-09) [Thinking Before Speaking: A Role-playing Model with Mindset](pprompting/Thinking-Before-Speaking-A-Role-playing-Model-with-Mindset_2409.13752v1.md) [Roleplay]
- (2024-10) [ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation](prompting/ComfyGen-Prompt-Adaptive-Workflows-Text-to-Image_2410.01731.md) [ImageGen]
- (2024-06) [The Prompt Report: A Systematic Survey of Prompting Techniques](pprompting/prompt-techniques_survey-2406.06608.md) [Prompt-Methods] [Survey]
- (2023-01) [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](prompting/prompt-based-learning.md) [Prompt-Methods]## Document Processing
- (2024-09) [Fully automatic extraction of morphological traits from the Web: utopia or reality?](document-processing/automated-data-extract-2409.17179.md)
- (2025-01) [AltGen AI-Driven Alt Text Generation for Enhancing EPUB Accessibility](document-processing/AltGen-AI-Driven-Alt-Text-Generation-for-Enhancing-EPUB-Accessibility_2501.00113v1.md) [Accessibility]
- (2024-11) [LongKey: Keyphrase Extraction for Long Documents](document-processing/LongKey-Keyphrase-Extraction-for-Long-Documents_2411.17863.md) [Extraction]
- (2024-10) [DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception](document-processing/DocLayout-YOLO-Enhancing-Document-Layout-Analysis-through-Diverse-Synthetic-Data-and-Global-to-Local-Adaptive-Perception_2410.12628v1.md) [Layout]
- (2024-10) [VERITAS-NLI: Validation and Extraction of Reliable Information Through Automated Scraping and Natural Language Inference](document-processing/VERITAS-NLI-Reliable-Information-Through-Automated-Scraping-and-Natural-Language-Inference-2410.09455.md) [Extraction]
- (2024-09) [Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits](document-processing/Mitigating-Idiosyncrasies_Improving-Human-AI-Alignment-in-Writing-through-Edits-2409.14509.md) [Editing]
- (2024-09) [Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review](document-processing/Evaluation-LLM-Summarization-Tasks-in-the-Medical-Domain-2409.18170.md) [Medical Summary]
- (2024-01) [Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings](document-processing/efficient-medical-qa-2401.07977.md) [Q/A]
- (2024-09) [Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications](document-processing/Multi-Document-Understanding-and-Summarization-Enterprise-Applications-2409.17698.md) [Multi-Document]
- (2024-09) [Model-based Preference Optimization in Abstractive Summarization without Human Feedback](document-processing/Model-based-Preference-Optimization-in-Abstractive-Summarization-without-Human-Feedback-2409.18618.md) [Preference Optimization]
- (2024-07) [Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems](document-processing/summary-of-a-haystack_2407.01370v1.md) [Long Context]
- (2024-09) [Attention-Seeker: Dynamic Self-Attention Scoring for Unsupervised Keyphrase Extraction](document-processing/Attention-Seeker_Unsupervised-Keyphrase-Extraction-2409.10907.md) [Keywords]
- (2024-01) [Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure](document-processing/detect-order-construct_2401.11874v2.md) [Ingestion]
- (2021-03) [Learning Transferable Visual Models From Natural Language Supervision](document-processing/Learning-Transferable-Visual-Models-From-Natural-Language-Supervision_2103.00020.md)## Training
- (2025-01) [Analyzing Fine-tuning Representation Shift for Multimodal LLMs Steering](training/Analyzing-Fine-tuning-Representation-Shift-for-Multimodal-LLMs-Steering_2501.03012v1.md)
- (2024-12) [Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging](training/Safeguard-Fine-Tuned-LLMs-Through-Pre--and-Post-Tuning-Model-Merging_2412.19512v1.md)
- (2024-10) [SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixture](training/SLIM-Let-LLM-Learn-More-and-Forget-Less-with-Soft-LoRA-and-Identity-Mixture_2410.07739.md)
- (2024-10) [LoRA vs Full Fine-tuning: An Illusion of Equivalence](training/LoRA-vs-Full-Fine-tuning-Illusion-Equivalence_2410.21228v1.md)
- (2024-05) [LoRA Learns Less and Forgets Less](training/LoRA_Learns-Less-Forgets-Less_2405.09673.md)
- (2024-10) [LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization](training/LoRA-Done-RITE_Robust-Invariant-Transformation-Equilibration_2410.20625v1.md)
- (2024-01) [Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning](training/Chain-of-Lora_Residual-Learning_2401.04151.md)
- (2024-02) [BitDelta: Your Fine-Tune May Only Be Worth One Bit](training/BitDelta_Your-Fine-Tune-May-Only-Be-Worth-One-Bit_2402.10193v3.md)
- (2024-08) [BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models](training/Bias-Alleviating-Low-Rank-Adaptation-to-Mitigate-Catastrophic-Inheritance-in-Large-Language-Models_2408.04556.md)
- (2024-04) [Inheritune: Training Smaller Yet More Attentive Language Models](training/inheritune-Smaller-Yet-More-Attentive-Language-Models-2404.08634.md)
- (2024-10) [InfiniPot: Efficiently Handling Long Input Contexts in Large Language Models (LLMs) on Memory-Constrained Devices](training/InfiniPot-Efficiently-Handling-Long-Input-Contexts_LLM_Memory-Constrained-Devices-2410.01518.md)
- (2024-09) [Propulsion: Steering LLM with Tiny Fine-Tuning](training/propultion-tiny-finetune-2409.10927.md)
- (2024-09) [Finetuning LLMs for Comparative Assessment Tasks](training/Comparative-Assesment-2409.15979.md)
- (2024-08) [Ultimate Guide to Fine-Tuning LLMs: From Basics to Breakthroughs](training/ultimate-guide-fine-tuning-llm_parthasarathy-2408.13296.md)
- (2024-03) [Tune without Validation Searching for Learning Rate and Weight Decay on Training Sets](training/Tune-without-Validation-Searching-for-Learning-Rate-and-Weight-Decay-on-Training-Sets_2403.05532v1.md)## Steering
- (2024-10) [Considerations Influencing Offense-Defense Dynamics From Artificial Intelligence](steering/Considerations-Influencing-Offense-Defense-Dynamics-From-Artificial-Intelligence_2412.04029v1.md)
- (2025-01) [Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind](steering/Autonomous-Alignment-with-Human-Value-on-Altruism-through-Considerate-Self-imagination-and-Theory-of-Mind_2501.00320v1.md)
- (2024-11) [Extracting Unlearned Information from LLMs with Activation Steering](steering/Extracting-Unlearned-Information-from-LLMs-with-Activation-Steering_2411.02631v1.md)## Retrieval Augmented Generation
- (2024-12) [CypherBench Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era](retrieval-augmented-rag/CypherBench-Towards-Precise-Retrieval-over-Full-scale-Modern-Knowledge-Graphs-in-the-LLM-Era_2412.18702v1.md)
- (2024-11) [Harnessing multiple LLMs for Information Retrieval A case study on Deep Learning methodologies in Biodiversity publications](retrieval-augmented-rag/Harnessing-multiple-LLMs-for-Information-Retrieval-A-case-study-on-Deep-Learning-methodologies-in-Biodiversity-publications_2411.09269v1.md)
- (2024-10) [Agentic Information Retrieval](retrieval-augmented-rag/Agentic-Information-Retrieval_2410.09713.md)
- (2024-10) [Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains](retrieval-augmented-rag/Self-Improving-Retrieval-Augmented-Generation-for-Adapting-Large-Language-Models-to-Specialized-Domains_2410.17952v1.md)
- (2024-10) [Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning](retrieval-augmented-rag/Retrieval-Instead_Fine-tuning_2410.09908.md)
- (2024-02) [ActiveRAG: Revealing the Treasures of Knowledge via Active Learning](document-processing/ActiveRAG-Revealing-the-Treasures-of-Knowledge-via-Active-Learning_2402.13547v1.md) RAG
- (2024-10) [Retrieval-based Parameter Ensemble for Zero-shot Learning](retrieval-augmented-rag/Retrieval-based-Parameter-Ensemble-for-Zero-shot-Learning_2410.09908.md_) [medical]## Data Science
- (2024-10) [I want to break some laws too](data-science/I-want-to-break-some-laws-too.md)
- (2023-07) [DATA-CENTRIC AI: The Underdog Game Changer in AI's Evolution](data-science/DATA-CENTRIC.md) [Kaggle]
- (2024-09) [Data Analysis in the Era of Generative AI](data-science/Data-Analysis-in-the-Era-of-Generative-AI-2409.18475.md) [Data-Analysis]
- (2024-09) [Data-Prep-Kit: getting your data ready for LLM application development](data-science/data-prep-kit-2409.18164.md) [Application]
- (2024-09) [Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy](data-science/Classify-Business-Activities-into-International-Standard-Industrial-Classification-for-Circular-Economy-2409.18988.md) [Classification]
- (2024-07) [Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?](data-science/Spider2-V_Automating-Data-Science-and-Engineering-Workflows-2407.10956.md) [Data-Engineering]## Code and Tools
- [A Comprehensive Survey of AI-Driven Advancements and Techniques in Automated Program Repair and Code Generation](code-tools/A-Comprehensive-Survey-of-AI-Driven-Advancements-and-Techniques-in-Automated-Program-Repair-and-Code-Generation.md)
- [HunyuanProver A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving](code-tools/HunyuanProver-A-Scalable-Data-Synthesis-Framework-and-Guided-Tree-Search-for-Automated-Theorem-Proving.md)
- [MCP-Solver Integrating Language Models with Constraint Programming Systems](code-tools/MCP-Solver-Integrating-Language-Models-with-Constraint-Programming-Systems.md)
- [STEPTOOL: A STEP-GRAINED REINFORCEMENT LEARNING FRAMEWORK FOR TOOL LEARNING IN LLMS](code-tools/STEPTOOL-A-STEP-GRAINED-REINFORCEMENT-LEARNING-FRAMEWORK-FOR-TOOL-LEARNING-IN-LLMS.md)
- [ToolGen: Unified Tool Retrieval and Calling via Generation](code-tools/ToolGen-Unified-Tool-Retrieval-and-Calling-via-Generation.md) [Tools]
- [From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging](code-tools/Closing-the-Last-Mile-of-Code-Generation-with-Hierarchical-Debugging.md) [Code]
- [LLM With Tools: A Survey](code-tools/llm-with-tools.md) [Tools]## Interactive Agents
- (2024-11) [Navigating the Risks A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents](interactive-agents/Navigating-the-Risks-A-Survey-of-Security,-Privacy,-and-Ethics-Threats-in-LLM-Based-Agents_2411.09523v1.md)
- (2024-11) [OASIS Open Agent Social Interaction Simulations with One Million Agents](interactive-agents/OASIS-Open-Agent-Social-Interaction-Simulations-with-One-Million-Agents_2411.11581v4.md)
- (2024-12) [SocialMind A Proactive Social Assistive System for Live Social Interactions Integrating Large Language Models and AR Glasses](interactive-agents/SocialMind-A-Proactive-Social-Assistive-System-for-Live-Social-Interactions-Integrating-Large-Language-Models-and-AR-Glasses_2412.04036v1.md)
- (2024-11) [Spontaneous Emergence of Agent Individuality through Social Interactions in LLM-Based Communities](interactive-agents/Spontaneous-Emergence-of-Agent-Individuality-through-Social-Interactions-in-LLM-Based-Communities_2411.03252.md) [Emergence]
- (2024-10) [AFLOW : AUTOMATING AGENTIC WORKFLOW GENERATION](interactive-agents/AUTOMATING-AGENTIC-WORKFLOW-GENERATION-2410.10762.md) (2024-10)
- (2024-10) [Conversational Swarms Of Humans And Ai Agents Enable Hybrid Collaborative Decision-Making](interactive-agents/Conversational-Swarms-Of-Humans-And-Ai-Agents-Enable-Hybrid-Collaborative-Decision-Making-2410.03690.md)
- (2024-10) [Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with caimira](interactive-agents/Investigating-Human-AI-Complementarity-in-Question-Answering-with-caimira_2410.06524v1.md) [Review-vs-Human]
- (2024-09) [TRAINING LANGUAGE MODELS TO WIN DEBATES WITH SELF-PLAY IMPROVES JUDGE ACCURACY](interactive-agents/TRAINING-LANGUAGE-MODELS-TO-WINDEBATES-WITHSELF-PLAY-2409.16636.md) [Self-Play]
- (2024-09) [Do LLMs suffer from Multi-Party Hangover?](interactive-agents/Do-LLMs-suffer-from-Multi-Party-Hangover-2409.18602.md) [Multiparty]
- (2024-09) [A Survey on Complex Tasks for Goal-Directed Interactive Agents](interactive-agents/Survey-on-Complex-Tasks-for-Goal-Directed-Interactive-Agents-2409.18538.md) [Agents]## Computer Use
- (2024-10) [From Commands to Prompts: LLM-based Semantic File System for AIOS](computer-use/From-Commands-to-Prompts-LLM-based-Semantic-File-System-for-AIOS_2410.11843v1.md)
- (2024-10) [Agent S: An Open Agentic Framework that Uses Computers Like a Human](computer-use/Agent-S_Uses-Computers-Like-a-Human_2410.08164v1.md) [Agent]
- (2024-02) [WEBLINX: Real-World Website Navigation with Multi-Turn Dialogue](computer-use/WEBLINX_Website-Navigation-Multi-Turn-Dialogue_2402.05930.md) [Web-Naviation]## Education
- (2024-10) [Students Rather Than Experts: A New AI For Education Pipeline To Model More Human-Like And Personalised Early Adolescences](education/AI-FOR-EDUCATION-PIPELINE-TO-MODEL-MORE-HUMAN-LIKE-AND-PERSONALISED-EARLY-ADOLESCENCES-2410.15701.md)
- (2024-10) [The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment](education/Automated-Question-Generation-and-Assessment_2410.09576.md)
- (2024-10) [Hey AI Can You Grade My Essay?: Automatic Essay Grading](education/Automatic-Essay-Grading_2410.09319.md) [Grading]
- (2024-09) [The application of GPT-4 in grading design university students' assignment and providing feedback: An exploratory study](education/grading-design-university-assignment_feedback-2409.17698.md) [Grading]
- (2024-09) [Exploring the Use of ChatGPT for a Systematic Literature Review: a Design-Based Research](education/Exploring-the-Use-of-ChatGPT-for-a-Systematic-Literature-Review-2409.17426.md) [Review] [Science]
- (2024-09) [LLMs in Education: Novel Perspectives, Challenges, and Opportunities](education/LLMs-in-Education_Review_2409.11917v1.md) [Review] [Learning]## Scientific Research
- (2024-12) [LLMs4Life Large Language Models for Ontology Learning in Life Sciences](scientific-research/LLMs4Life-Large-Language-Models-for-Ontology-Learning-in-Life-Sciences_2412.02035v1.md)
- (2024-12) [Navigating the landscape of multimodal AI in medicine a scoping review on technical challenges and clinical applications](scientific-research/Navigating-the-landscape-of-multimodal-AI-in-medicine-a-scoping-review-on-technical-challenges-and-clinical-applications_2412.20942v1.md)
- (2024-12) [Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema](scientific-research/Ontology-grounded-Automatic-Knowledge-Graph-Construction-by-LLM-under-Wikidata-schema_2412.20942v1.md)
- (2024-10) [HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation](scientific-research/HLM-Cite_Hybrid-Language-Model-Workflow-for-Text-based-Scientific-Citation_2410.09112.md)
- (2024-10) [Society of Medical Simplifiers](scientific-research/Society-Medical-Simplifiers-2410.09631.md)
- (2024-10) [Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation](scientific-research/Multi-Agent-System-to-Improve-Scientific-Idea-Generation-2410.09403.md)
- (2024-10) [ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery](scientific-research/ScienceAgentBench_Language-Agents-for-Data-Driven-Scientific-Discovery-2410.05080.md)
- (2024-09) [LANGUAGE AGENTS ACHIEVE SUPERHUMAN SYNTHESIS OF SCIENTIFIC KNOWLEDGE](scientific-research/Language_Agents_Science.md) [Science]## Social Science
- [Large language models surpass human experts in predicting neuroscience results - Nature Human Behaviour](social-science/LLM-surpass-experts-in-predicting-neuroscience-results_Nature-Human-Behaviour.md) [Scientific-Research]
- [Artificial Intelligence Applications for Social Science Research](social-science/AI-Tools-for-Social-Scientists.md) [Research Tools]
- [Evaluating LLMs Capabilities Towards Understanding Social Dynamics](social-science/Evaluating-LLMs-Capabilities-Towards-Understanding-Social-Dynamics.md)
- [Automated Social Science: Language Models as Scientist and Subjects](social-science/Social-Science_Scientist-Subjects.md)
- [Large Language Models based on historical text could offer informative tools for behavioral science](social-science/LLM-of-historical-text-for-behavioral-science.md) [History] [Behavioral-Science]
- [PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent](social-science/PropaInsight-Toward-Deeper-Understanding-of-Propaganda.md) [Social-Psychology]
- [Autoformalization of Game Descriptions using Large Language Models](social-science/autoformalize-game-descriptions.md) [Game-Theory]### AI Psychology
- [Large Language Models Reflect the Ideology of their Creators](social-science/ai-psychology/Large-Language-Models-Reflect-the-Ideology-of-their-Creators.md)
- [Can a Large Language Model be a Gaslighter?](social-science/ai-psychology/Can-a-Large-Language-Model-be-a-Gaslighter.md)
- [Evaluating Psychological Safety of Large Language Models](social-science/ai-psychology/Evaluating-Psychological-Safety-of-Large-Language-Models.md)
- [Measuring Human and AI Values based on Generative Psychometrics with Large Language Models](social-science/ai-psychology/measuring-values_human-ai.md)
- [Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges](social-science/ai-psychology/LLM-and-Cognitive-Science_Comprehensive-Review.md)### Mental Health
- [The Emotional Spectrum of LLMs Leveraging Empathy and Emotion-Based Markers for Mental Health Support](social-science/mental-health/The-Emotional-Spectrum-of-LLMs-Leveraging-Empathy-and-Emotion-Based-Markers-for-Mental-Health-Support.md)- [MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders](social-science/mental-health/MentalArena-Self-play-Training-Language-Models-Diagnosis-Treatment-Mental-Health-Disorders.md) [Diagnosis-Treatment]
- [Severity Prediction in Mental Health: LLM-based Creation, Analysis, Evaluation of a Novel Multilingual Dataset](social-science/mental-health/Severity-Prediction-in-Mental-Health.md)
- [A COMPREHENSIVE EVALUATION OF LARGE LANGUAGE MODELS ON MENTAL ILLNESS](social-science/mental-health/mental-health-llm-survey.md)
- [DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation](social-science/mental-health/DISCO-Cognitive-Diagnosis-Framework-for-Interpretable-Job-Recommendation.md)
- [Mapping neurotransmitter systems to the structural and functional organization of the human neocortex](social-science/mental-health/Mapping-neurotransmitter-systems-to-the-structural-and-functional-organization-of-the-human-neocortex.md) [Neural-Correlates]### Types Predict
- [Myers-Briggs Personality Type Prediction Based on Reddit Comments](social-science/types-predict/Personality_Prediction_Based_on_Reddit_Comments.md) [MBTI]
- [Machine Mindset: An MBTI Exploration of Large Language Models](social-science/types-predict/Machine-Mindset_MBTI.md) [MBTI]### Traits Detect
- [Traversing Emotional Landscapes and Linguistic Patterns in Bernard-Marie](psychology/Traversing-Emotional-Landscapes-and-Linguistic-Patterns.md)
- [Research on Predicting Public Opinion Event Heat Levels Based on Large Language Models](psychology/predict-public-opinion.md) [Social-Science]
- [Words that Represent Peace](psychology/Words-that-Represent-Peace.md)
- [Harnessing Large Language Models: Fine-tuned BERT for Detecting Charismatic Leadership Tactics in Natural Language](psychology/Fine-tuned-BERT-for-Detecting-Charismatic-Leadership.md) [Personality-Detect]## Future Perspectives
- [Beware the Intention Economy Collection and Commodification of Intent via Large Language Models](future-perspectives/Beware-the-Intention-Economy-Collection-and-Commodification-of-Intent-via-Large-Language-Models.md)
- [Dystopian Dreams, Utopian Nightmares: AI and the Permanence of Racism](future-perspectives/Dystopian-Dreams-Utopian-Nightmares_AI-and-the-Permanence-of-Racism.md)
- [The Future of Agents: AI is about to completely change how you use computers](future-perspectives/future-agents-gates.md) [Gates]
- [Leopold Aschenbrenner's Situational Awareness + The Decade Ahead (2024)](future-perspectives/situational-awareness_leopold-aschenbrenner.md) [aschenbrenner]## Lore
- [Memes, Markets, and Machines: The Evolution of On-Chain Autonomy through Hyperstition](lore/Memes-Markets-and-Machines-The-Evolution-of-On-Chain-Autonomy-through-Hyperstition.md)
- [Can AI Meditate?](lore/can-i-meditate.md) [Claude-3] [Sonnet]
- [When AIs Play God(se): The Emergent Heresies of LLMtheism](lore/When-AIs-Play-God_Emergent-Heresies-LLMtheism.md) [Truth-Terminal] [Claude-3] [Opus]## Historical
- (2025-01) [Artificial Intelligence in Creative Industries Advances Prior to 2025](history/Artificial-Intelligence-in-Creative-Industries-Advances-Prior-to-2025_2501.02725v1.md)
- (2023-10) [Hermes Lecture #3 Why Do Cognitive Scientists Hate LLMs](history/Hermes-Lecture-#3-Why-Do-Cognitive-Scientists-Hate-LLMs.md)
- (2016-09) [Le deep learning est-il le futur du text mining](document-processing/Le-deep-learning-est-il-le-futur-du-text-mining.md)### Statistical Language Models (SLMs) Era: 1990-2010
- (1990) [Hidden Markov Models for speech recognition](history/SLM_Hidden-Markov-Models-for-Speech-Recognition.md) (Rabiner) [Voice-Command-Systems]
- (1993) [IBM Model 1 for statistical machine translation](history/SLM_Mathematics-of-Statistical-Machine-Translation.md) (Brown et al.) [Early-Online-Translation]
- (1995) [Improved backing-off for M-gram language modeling](history/SLM_IMPROVED-BACKING-OFF-FOR-M-GRAM-LANGUAGE-MODELING.md) (Kneser & Ney) [Spell-Checkers]
- (1996) [Maximum Entropy Models](history/SLM_Maximum-Entropy-Approach-NLP.md) (Berger et al.) [Text-Classification]
- (1999) [An empirical study of smoothing techniques for language modeling](history/SLM_empirical-study-of-smoothing-techniques-for-language-modeling.md) (Chen & Goodman) [Improved-Language-Models]
- (2002) [Latent Dirichlet Allocation (LDA)](history/SLM_Latent-Dirichlet-Allocation.md) (Blei et al.) [Document-Clustering]
- (2006) [Hierarchical Pitman-Yor language model](history/SLM_A-Hierarchical-Bayesian-Language-Model-based-on-Pitman-Yor-Processes.md) (Teh) [Text-Generation]## Resources
- [Agents for Computer Use](https://github.com/francedot/acu): A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.
- [arXiv](https://arxiv.org/) - arXiv is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics.
- [CatalyzeX](https://www.catalyzex.com/) - Get code for papers directly on Google, Arxiv, Scholar, Twitter, and more
- [Papers With Code](https://paperswithcode.com/) - The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code, datasets, methods and evaluation tables.