Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by princeton-nlp
A curated list of projects in awesome lists by princeton-nlp .
https://github.com/princeton-nlp/SWE-agent
[NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.
agent agent-based-model ai cybersecurity developer-tools llm lms
Last synced: 31 Oct 2024
https://github.com/princeton-nlp/swe-agent
[NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.
agent agent-based-model ai cybersecurity developer-tools llm lms
Last synced: 06 Nov 2024
https://github.com/princeton-nlp/tree-of-thought-llm
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
large-language-models llm prompting tree-of-thoughts tree-search
Last synced: 14 Oct 2024
https://github.com/princeton-nlp/SimCSE
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Last synced: 03 Nov 2024
https://github.com/princeton-nlp/simcse
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Last synced: 15 Oct 2024
https://github.com/princeton-nlp/swe-bench
[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
benchmark language-model software-engineering
Last synced: 15 Oct 2024
https://github.com/princeton-nlp/SWE-bench
[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?
benchmark language-model software-engineering
Last synced: 02 Aug 2024
https://github.com/princeton-nlp/mezo
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
Last synced: 14 Oct 2024
https://github.com/princeton-nlp/MeZO
[NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
Last synced: 09 Aug 2024
https://github.com/princeton-nlp/PURE
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812
Last synced: 03 Nov 2024
https://github.com/princeton-nlp/LM-BFF
[ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723
few-shot-learning language-models lm-bff
Last synced: 06 Nov 2024
https://github.com/princeton-nlp/DensePhrases
[ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.org/abs/2012.12624
information-retrieval knowledge-base nlp open-domain-qa passage-retrieval slot-filling
Last synced: 03 Nov 2024
https://github.com/princeton-nlp/LLM-Shearing
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
efficiency llama llama2 llm nlp pre-training pruning
Last synced: 08 Nov 2024
https://github.com/princeton-nlp/llm-shearing
[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
efficiency llama llama2 llm nlp pre-training pruning
Last synced: 10 Oct 2024
https://github.com/princeton-nlp/ALCE
[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
Last synced: 08 Nov 2024
https://github.com/princeton-nlp/less
[ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
data data-selection influence instruction-tuning llama llm mistral
Last synced: 10 Oct 2024
https://github.com/princeton-nlp/WebShop
[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
decision-making language language-grounding ml nlp rl rl-environment shopping sim-to-real web-based
Last synced: 09 Nov 2024
https://github.com/princeton-nlp/OptiPrompt
[NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240
Last synced: 04 Aug 2024
https://github.com/princeton-nlp/EntityQuestions
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers https://arxiv.org/abs/2109.08535
Last synced: 07 Aug 2024
https://github.com/princeton-nlp/LLMBar
[ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
Last synced: 02 Aug 2024
https://princeton-nlp.github.io/SocraticAI/
Problem solving by engaging multiple AI agents in conversation with each other and the user.
Last synced: 03 Aug 2024