OSU-NLP-Group / LLM-Knowledge-ConflictLinks
[ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
☆81Updated last year
Alternatives and similar repositories for LLM-Knowledge-Conflict
Users that are interested in LLM-Knowledge-Conflict are comparing it to the libraries listed below
Sorting:
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆129Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆119Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆72Updated 3 weeks ago
- ☆22Updated 2 years ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- AbstainQA, ACL 2024☆28Updated last week
- ☆57Updated last year
- ☆78Updated last year
- ☆48Updated 2 years ago
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆151Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆65Updated last year
- Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…☆64Updated 8 months ago
- [ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆189Updated 4 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆77Updated 4 months ago
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆136Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆63Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆146Updated last month
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆136Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- ☆72Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆127Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- 🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Mode…☆54Updated 2 years ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆75Updated last year
- ☆58Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆201Updated 2 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 10 months ago