feyzaakyurek / rl4f
Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
☆58Updated 2 months ago
Related projects: ⓘ
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆37Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆33Updated 6 months ago
- the instructions and demonstrations for building a formal logical reasoning capable GLM☆49Updated 2 weeks ago
- Code and data for "Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation" (EMNLP 2023)☆62Updated 9 months ago
- ☆31Updated 5 months ago
- Supporting code for ReCEval paper☆26Updated this week
- ☆39Updated 9 months ago
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆28Updated 3 months ago
- Code for ACL2023 paper: Pre-Training to Learn in Context☆106Updated last month
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models☆33Updated 9 months ago
- ☆16Updated 6 months ago
- [ICLR 2024] COLLIE: Systematic Construction of Constrained Text Generation Tasks☆51Updated last year
- Source code and data for The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code (Findings of ACL 2023…☆28Updated last year
- Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data☆28Updated last month
- ☆80Updated 9 months ago
- ☆32Updated 5 months ago
- Retrieval as Attention☆77Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆35Updated 6 months ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆54Updated 6 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆45Updated 6 months ago
- ☆52Updated 7 months ago
- Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval☆33Updated 3 months ago
- BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval☆41Updated last month
- Evaluate the Quality of Critique☆35Updated 3 months ago
- Code for paper 'Data-Efficient FineTuning'☆29Updated last year
- ☆44Updated 8 months ago
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆51Updated last year
- GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.☆38Updated 2 months ago
- Code for M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models☆22Updated last month
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆60Updated last month