OSU-NLP-Group / LLM-Knowledge-ConflictLinks
[ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
☆72Updated 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…☆114Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆114Updated 10 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆62Updated 8 months ago
- ☆74Updated last year
- ☆46Updated 8 months ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆112Updated 5 months ago
- ☆20Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆129Updated 10 months ago
- ☆46Updated last year
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆152Updated 2 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆114Updated last year
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆61Updated 9 months ago
- AbstainQA, ACL 2024☆27Updated 9 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆83Updated 3 weeks ago
- Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…☆46Updated 2 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆139Updated 8 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆67Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- 🌲 Code for our EMNLP 2023 paper - 🎄 "Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Mode…☆51Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆183Updated last year
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆125Updated 4 months ago
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆70Updated 11 months ago
- code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models☆38Updated 8 months ago
- Do Large Language Models Know What They Don’t Know?☆99Updated 8 months ago