chendl02 / Awesome-LLM-Causal-Reasoning
Awesome LLM Causal Reasoning is a collection of LLM-based casual reasoning works, including papers, codes and datasets.
☆16Updated 2 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for Awesome-LLM-Causal-Reasoning
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated 5 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆32Updated 10 months ago
- Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"☆29Updated 6 months ago
- Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"☆54Updated 4 months ago
- Official Implementation for EMNLP 2024 (main) "AgentReview: Exploring Academic Peer Review with LLM Agent."☆28Updated this week
- ☆33Updated 3 weeks ago
- [EMNLP 2023] Knowledge Rumination for Pre-trained Language Models☆17Updated last year
- [KDD 2024]this is project for training explicit graph reasoning large language models.☆38Updated 5 months ago
- [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$☆29Updated 2 weeks ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models☆48Updated 2 months ago
- ☆15Updated 3 months ago
- ☆15Updated 4 months ago
- Code for "Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models", ICLR 2024 Oral.☆20Updated 6 months ago
- Codebase for Instruction Following without Instruction Tuning☆30Updated last month
- ☆14Updated 8 months ago
- InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆51Updated 3 weeks ago
- The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…☆30Updated 9 months ago
- [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers☆68Updated 3 weeks ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆45Updated 7 months ago
- A Closer Look into Mixture-of-Experts in Large Language Models☆39Updated 3 months ago
- ☆29Updated this week
- [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models☆40Updated 10 months ago
- [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning☆30Updated 3 months ago
- The benchmark and datasets of the ICML 2024 paper "VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual C…☆11Updated 5 months ago
- [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…☆30Updated last month
- This is the repository for paper "CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models"☆22Updated last year
- [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".☆24Updated last week
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆67Updated last month
- Code for https://arxiv.org/abs/2401.17139 (NeurIPS 2024)☆23Updated this week
- The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability☆16Updated 8 months ago