MurongYue / LLM_MoT_cascadeLinks
This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REASONING".
☆24Updated last year
Alternatives and similar repositories for LLM_MoT_cascade
Users that are interested in LLM_MoT_cascade are comparing it to the libraries listed below
Sorting:
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- RL Scaling and Test-Time Scaling (ICML'25)☆108Updated 5 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- Code for paper Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding☆72Updated last year
- ☆47Updated 5 months ago
- LongHeads: Multi-Head Attention is Secretly a Long Context Processor☆29Updated last year
- Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…☆61Updated 4 months ago
- A dataset of LLM-generated chain-of-thought steps annotated with mistake location.☆81Updated 11 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆102Updated 2 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆47Updated 5 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆50Updated last month
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆100Updated last month
- Evaluate the Quality of Critique☆36Updated last year
- Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"☆57Updated last year
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆49Updated 8 months ago
- ☆19Updated 4 months ago
- Scalable Meta-Evaluation of LLMs as Evaluators☆42Updated last year
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆27Updated 7 months 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
- Repository for NPHardEval, a quantified-dynamic benchmark of LLMs☆56Updated last year
- ☆26Updated 3 months ago
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- ☆48Updated last month
- [ACL'24] Chain of Thought (CoT) is significant in improving the reasoning abilities of large language models (LLMs). However, the correla…☆45Updated 2 months ago
- ☆25Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆116Updated last year
- [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction☆74Updated 3 months ago
- ☆22Updated 6 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆60Updated 7 months ago
- ☆54Updated 2 weeks ago