Leezekun / Directional-Stimulus-Prompting
[NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"
☆108Updated 2 years ago
Alternatives and similar repositories for Directional-Stimulus-Prompting
Users that are interested in Directional-Stimulus-Prompting are comparing it to the libraries listed below
Sorting:
- Do Large Language Models Know What They Don’t Know?☆94Updated 6 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆70Updated 9 months ago
- Repository for MuSiQue: Multi-hop Questions via Single-hop Question Composition, TACL 2022☆133Updated 11 months ago
- Paper list of "The Life Cycle of Knowledge in Big Language Models: A Survey"☆59Updated last year
- [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection☆87Updated last year
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆55Updated last year
- Repository for the paper "Cognitive Mirage: A Review of Hallucinations in Large Language Models"☆47Updated last year
- Code and data for "The Power of Noise: Redefining Retrieval for RAG Systems"☆53Updated 6 months ago
- ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels …☆261Updated last year
- The code and data for paper "Large Language Models are few(1)-shot Table Reasoners" [EACL2023]☆46Updated last year
- Repository for Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions, ACL23☆206Updated 11 months ago
- Scaling Sentence Embeddings with Large Language Models☆107Updated last year
- Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"☆56Updated 11 months ago
- ☆138Updated last year
- YuLan-IR: Information Retrieval Boosted LMs☆219Updated last year
- A framework for editing the CoTs for better factuality☆50Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆41Updated last year
- Code for the paper <SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning>☆49Updated last year
- The official repository of "ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models"☆42Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆111Updated 10 months ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆116Updated 7 months ago
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆56Updated last year
- EMNLP'23 survey: a curation of awesome papers and resources on refreshing large language models (LLMs) without expensive retraining.☆133Updated last year
- ☆30Updated last week
- Data and Code for Program of Thoughts (TMLR 2023)☆272Updated last year
- [ICLR 2024] MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use☆86Updated last year
- ☆279Updated last year
- RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.☆130Updated this week
- 🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Mode…☆50Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year