shizhediao / R-TuningLinks
[NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"
☆126Updated last year
Alternatives and similar repositories for R-Tuning
Users that are interested in R-Tuning are comparing it to the libraries listed below
Sorting:
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆79Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆134Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated 11 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated 2 months ago
- [ICLR 2025] BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆181Updated 3 months ago
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆133Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆76Updated 7 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆118Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆64Updated last year
- Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models☆115Updated 5 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆149Updated last year
- ☆70Updated last year
- ☆76Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆76Updated last year
- ☆22Updated last year
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆197Updated 2 weeks ago
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆134Updated 10 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆55Updated last year
- ☆57Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆181Updated 7 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆126Updated last year
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆143Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆75Updated last year
- Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)☆28Updated 2 years ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆53Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆85Updated last year