qtli / GSM-PlusLinks
GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
☆62Updated last year
Alternatives and similar repositories for GSM-Plus
Users that are interested in GSM-Plus are comparing it to the libraries listed below
Sorting:
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆63Updated 7 months ago
- ☆68Updated last year
- BeHonest: Benchmarking Honesty in Large Language Models☆34Updated 11 months ago
- ☆30Updated 7 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 2 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆67Updated last year
- ☆74Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆80Updated 6 months ago
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- ☆53Updated last year
- Analyzing LLM Alignment via Token distribution shift☆16Updated last year
- [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"☆77Updated 8 months ago
- The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”☆17Updated last year
- ☆59Updated 11 months ago
- Evaluate the Quality of Critique☆36Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆81Updated last year
- Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"☆30Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆166Updated 2 months ago
- The official repository of the Omni-MATH benchmark.☆85Updated 7 months ago
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆131Updated 2 years ago
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆114Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated last month
- A curated list of awesome resources dedicated to Scaling Laws for LLMs☆76Updated 2 years ago
- [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning☆27Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆72Updated 8 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆183Updated last year
- ☆99Updated last year
- 🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts☆39Updated 10 months ago
- The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism☆30Updated last year