WHGTyen / BIG-Bench-MistakeLinks
A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
☆81Updated 9 months ago
Alternatives and similar repositories for BIG-Bench-Mistake
Users that are interested in BIG-Bench-Mistake are comparing it to the libraries listed below
Sorting:
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆73Updated 2 weeks ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆62Updated 10 months ago
- "Improving Mathematical Reasoning with Process Supervision" by OPENAI☆107Updated 2 weeks ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated 10 months ago
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆141Updated 7 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- Critique-out-Loud Reward Models☆66Updated 7 months ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆135Updated 8 months ago
- InstructCoder: Instruction Tuning Large Language Models for Code Editing | Oral ACL-2024 srw☆62Updated 7 months ago
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling☆102Updated 4 months ago
- ☆67Updated 2 months ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆111Updated 10 months ago
- official repo for the paper "Learning From Mistakes Makes LLM Better Reasoner"☆59Updated last year
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆58Updated last year
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆68Updated last year
- ☆46Updated last year
- Self-Alignment with Principle-Following Reward Models☆161Updated 3 weeks ago
- [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI☆101Updated 2 months ago
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆51Updated last year
- ☆97Updated last year
- PASTA: Post-hoc Attention Steering for LLMs☆117Updated 6 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated 5 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆98Updated 3 weeks ago
- ☆44Updated 9 months ago
- Revisiting Mid-training in the Era of RL Scaling☆48Updated last month
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆47Updated 5 months ago
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆75Updated 6 months ago
- ☆50Updated last year
- Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision☆120Updated 8 months ago