WHGTyen / BIG-Bench-Mistake
A dataset of LLM-generated chain-of-thought steps annotated with mistake location.
☆79Updated 7 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
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆136Updated 4 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆121Updated 8 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated 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
- ☆39Updated 7 months ago
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆44Updated 3 months ago
- Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"☆72Updated 9 months ago
- [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI☆96Updated 2 weeks ago
- ☆94Updated last year
- [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…☆48Updated 10 months ago
- ☆68Updated last year
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆70Updated 3 months ago
- Official implementation of paper "Autonomous Data Selection with Language Models for Mathematical Texts" (As Huggingface Daily Papers: ht…☆80Updated 4 months ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆130Updated 6 months ago
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆55Updated 8 months ago
- Critique-out-Loud Reward Models☆55Updated 5 months ago
- ☆59Updated 6 months ago
- ☆48Updated 11 months ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆102Updated last month
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆108Updated 8 months ago
- Self-Alignment with Principle-Following Reward Models☆156Updated last year
- Evaluate the Quality of Critique☆35Updated 9 months ago
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆57Updated 11 months ago
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆67Updated 11 months ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆49Updated last year
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆89Updated last month
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆78Updated last month
- PASTA: Post-hoc Attention Steering for LLMs☆113Updated 3 months ago