• [Paper - upenn/llm_token_bias)], 2024.6
• [Project
• [Paper
• [Paper - emergent-phenomena-in.html)], 2022.6
• [Paper - Bench-Hard)], 2022.10
• [Paper - osu/Understanding-CoT)], 2022.12
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper - unfaithfulness)], 2023.5
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper - osu/iterprompt)]
• [Paper
• [Paper
• [Paper
• [Paper - plan-benchmark)], 2022.6
• [Paper - solving-quantitative-reasoning.html)], 2022.6
• [Paper
• [Project
• [Paper
• [Paper
• [Paper
• [Paper - research/auto-cot)], 2022.10
• [Project - synergizing-reasoning-and-acting.html)], 2022.10
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Project - machines/pal)], 2022.11
• [Paper
• [Paper - of-thoughts)], 2022.11
• [Paper
• [Paper
• [Paper - NLP/retriever-lm-reasoning)], 2022.12
• [Paper - Verification)], 2022.12
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper - cot)], 2023.2
• [Paper - cot)], 2023.2
• [Paper
• [Paper - of-thought-llm)], 2023.5
• [Paper - ISA)], 2023.05
• [Paper
• [Paper
• [Paper - lee/RoT)] [[Poster](https://soochanlee.com/img/rot/rot_poster.pdf)], 2023.6
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper - LLM)], 2023.10
• [Paper
• [Paper - NLP-SG/contrastive-cot)], 2023.11
• [Paper
• [Paper - lm)], 2023.5
• [Paper
• [Paper
• [Paper - zhao/LoT)], 2023.9
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper
• [Paper - TAMP)], 2024.3

<h3 id="lm">Scaling Smaller Language Models to Reason<h3/>

• [Paper
• [Paper
• [Paper
• [Project
• [Project
• [Blog
• [Project - CAIR/MiniGPT-4)], 2023.4
• [Paper
• [Paper
• [Paper
• [Paper - gpt.github.io/)], 2023.7
• [Paper
• [Paper - stanford/med-flamingo)], 2023.7
• [Paper - VL)], 2023.8
• [Paper
• [Paper
• [Paper
• [Project - iep)], 2017.5
• [Paper
• [Paper
• [Project - vid.github.io/#video-demos)], 2023.10
• ARO
• OK-VQA
• A-OKVQA - based visual question answering benchmark.
• NExT-QA
• GQA - world images.
• VQA
• VQAv2
• TAG
• Bongard-HOI - object interactions (HOIs) from natural images.
• ARC - like form of general fluid intelligence.
• [Project - liu/LLaVA)], 2023.10

<h3 id="mllm">🧠 Multimodal Reasoning in Large Language Models<h3/>

• [Paper - science/mm-cot)], 2023.2
• [Paper
• ARB - bench](https://doi.org/10.48550/arXiv.2206.04615) / [AGIEval](https://arxiv.org/abs/2304.06364) / [ALERT](https://arxiv.org/abs/2212.08286) / [CONDAQA](https://arxiv.org/abs/2211.00295) / [SCAN](https://arxiv.org/abs/1711.00350) / [WikiWhy](https://arxiv.org/abs/2210.12152) |
• [Project
• [Project
• here
• CoinFlip
• [Project - REACT)] [[Demo](https://huggingface.co/spaces/microsoft-cognitive-service/mm-react)], 2023.3
• [Project - llm)], 2023.4
• [Paper
• [Paper - portal/Link-Context-Learning)], 2023.8
• [Paper
• [Paper
• GSM8K - main.168) / [ASDiv](https://aclanthology.org/2020.acl-main.92/) / [AQuA](https://aclanthology.org/P17-1015/) / [MAWPS](https://aclanthology.org/N16-1136/) / [AddSub](https://aclanthology.org/D14-1058/) / [MultiArith](https://aclanthology.org/D15-1202/) / [SingleEq](https://aclanthology.org/Q15-1042/) / [SingleOp]( https://doi.org/10.1162/tacl_a_00118) / [Lila](https://arxiv.org/abs/2210.17517) |
• CommonsenseQA
• ReClor
• SCIENCEQA - VQA](https://arxiv.org/abs/1906.00067) / [A-OKVQA](https://arxiv.org/abs/2206.01718) / [NExT-QA](https://arxiv.org/abs/2105.08276) / [GQA](https://arxiv.org/abs/1902.09506) / [VQA](https://arxiv.org/abs/1505.00468) / [VQAv2](https://arxiv.org/abs/1612.00837) / [TAG](https://arxiv.org/abs/2208.01813) / [Bongard-HOI](https://arxiv.org/abs/2205.13803) / [ARC](https://arxiv.org/abs/1911.01547) |
• [Project - research/google-research/tree/master/socraticmodels)], 2022.4
• [Paper - chatgpt)], 2023.3
• [Project - columbia/viper)], 2023.3
• [Paper

<h3 id="lm">🤏 Scaling Smaller Language Models to Reason<h3/>

• [Paper
• [Paper
• [Paper
• [Paper - nlp/FLD)], 2023.8
• [Paper
• [Paper
• [Paper - teacher)], 2022.12
• [Paper
• [Paper

<h3 id="mllm">🧠 Multimodal Reasoning in Large Language Models<h3/>

• Chain-of-Thought Hub - of-thought prompting.
• ThoughtSource - of-thought reasoning in large language models.
• CoTEVer
• AgentChain
• Cascades - inference, and more.
• LogiTorch - based library for logical reasoning on natural language.
• Promptify
• MiniChain
• LlamaIndex
• EasyInstruct - 3 in research experiments.
• salesforce/LAVIS - stop Library for Language-Vision Intelligence.
• LLM Reasoners

<h3 id="mllm">🧠 Multimodal Reasoning in Large Language Models<h3/>

• Awesome-Controllable-Generation
• Chain-of-ThoughtsPapers - of-Thought Prompting Elicits Reasoning in Large Language Models".
• LM-reasoning
• Prompt4ReasoningPapers
• ReasoningNLP
• Awesome-LLM
• Awesome LLM Self-Consistency - consistency in Large Language Models.
• Deep-Reasoning-Papers - Symbolic Reasoning, Logical Reasoning, and Visual Reasoning.

Contributors

• ![Star History Chart - history.com/#atfortes/LLM-Reasoning-Papers&Date)

<h3 id="lm">Scaling Smaller Language Models to Reason<h3/>

• ![Star History Chart - history.com/#atfortes/Awesome-LLM-Reasoning&Timeline)