princeton-nlp / LLMBarLinks
[ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
☆134Updated last year
Alternatives and similar repositories for LLMBar
Users that are interested in LLMBar 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…☆126Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆149Updated last year
- Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…☆134Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆76Updated 7 months ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆110Updated 10 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- Self-Alignment with Principle-Following Reward Models☆169Updated 3 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated 3 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆63Updated 2 years ago
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆181Updated 7 months ago
- ☆58Updated last year
- ☆143Updated 2 years ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆64Updated last year
- Collection of papers for scalable automated alignment.☆93Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆198Updated last month
- ☆61Updated 7 months ago
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆83Updated 11 months ago
- ☆50Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆102Updated last year
- ☆70Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆82Updated last year
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆73Updated 7 months ago
- ☆77Updated 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
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆85Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- Benchmarking Complex Instruction-Following with Multiple Constraints Composition (NeurIPS 2024 Datasets and Benchmarks Track)☆99Updated 10 months ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆53Updated last year
- ☆102Updated 2 years ago
- Generative Judge for Evaluating Alignment☆248Updated last year