LivingFutureLab / DeltaBenchLinks
☆44Updated 8 months ago
Alternatives and similar repositories for DeltaBench
Users that are interested in DeltaBench are comparing it to the libraries listed below
Sorting:
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆66Updated 11 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆65Updated 3 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated last month
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆115Updated 6 months ago
- ☆58Updated last year
- ☆50Updated last year
- Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting☆33Updated last year
- This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or re…☆37Updated last year
- Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]☆35Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 10 months ago
- The rule-based evaluation subset and code implementation of Omni-MATH☆24Updated 10 months ago
- Critique-out-Loud Reward Models☆70Updated last year
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆68Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 5 months ago
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆131Updated 7 months ago
- [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"☆120Updated 2 weeks ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆77Updated last year
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆121Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆63Updated last year
- ☆75Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆61Updated 11 months ago
- ☆69Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆176Updated 5 months ago
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆117Updated 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…☆125Updated last year
- Large Language Models Can Self-Improve in Long-context Reasoning☆73Updated 11 months ago
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆125Updated last year
- AbstainQA, ACL 2024☆28Updated last year
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆62Updated 11 months ago