Strong-AI-Lab / Logical-and-abstract-reasoningLinks
Evaluation on Logical Reasoning and Abstract Reasoning Challenges
☆29Updated 6 months ago
Alternatives and similar repositories for Logical-and-abstract-reasoning
Users that are interested in Logical-and-abstract-reasoning are comparing it to the libraries listed below
Sorting:
- [NAACL 2024] Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models☆86Updated last year
- Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)☆86Updated 2 years ago
- Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs☆40Updated last year
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 5 months ago
- Evaluate the Quality of Critique☆36Updated last year
- Supporting code for ReCEval paper☆30Updated last year
- the instructions and demonstrations for building a formal logical reasoning capable GLM☆55Updated last year
- Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.☆64Updated 11 months ago
- ☆103Updated last year
- [NAACL 2024] Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data? https://aclanthology.org/2024.naa…☆55Updated 3 months ago
- [ACL 2024] The project of Symbol-LLM☆59Updated last year
- Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments (EMNLP'2024)☆37Updated 10 months ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- [EMNLP'24 (Main)] DRPO(Dynamic Rewarding with Prompt Optimization) is a tuning-free approach for self-alignment. DRPO leverages a search-…☆24Updated 11 months ago
- Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding☆27Updated last year
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆82Updated last year
- Benchmarking Benchmark Leakage in Large Language Models☆56Updated last year
- Code and data for paper "Context-faithful Prompting for Large Language Models".☆41Updated 2 years ago
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)☆49Updated last year
- Generating diverse counterfactual data for Natural Language Understanding tasks using Large Language Models (LLMs). The generator support…☆38Updated 2 years ago
- ☆23Updated 2 years ago
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆96Updated last year
- [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback☆42Updated last year
- ☆74Updated last year
- A unified benchmark for math reasoning☆89Updated 2 years ago
- IntructIR, a novel benchmark specifically designed to evaluate the instruction following ability in information retrieval models. Our foc…☆31Updated last year
- Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073☆31Updated last year
- [AAAI 2025] Augmenting Math Word Problems via Iterative Question Composing (https://arxiv.org/abs/2401.09003)☆21Updated last month
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆28Updated 3 weeks ago