MTU-Bench-Team / MTU-Bench
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
☆40Updated last month
Alternatives and similar repositories for MTU-Bench:
Users that are interested in MTU-Bench are comparing it to the libraries listed below
- Hammer: Robust Function-Calling for On-Device Language Models via Function Masking☆63Updated last month
- We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆60Updated 5 months ago
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling☆95Updated 2 months ago
- Reformatted Alignment☆115Updated 6 months ago
- ☆49Updated last year
- Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate"☆131Updated last month
- The official repository of the Omni-MATH benchmark.☆77Updated 3 months ago
- Official implementation of the paper "From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large L…☆47Updated 9 months ago
- [COLING 2025] ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios☆65Updated 3 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆148Updated last week
- The demo, code and data of FollowRAG☆70Updated 3 months ago
- ☆106Updated last month
- ☆44Updated 3 months ago
- Code for Paper: Teaching Language Models to Critique via Reinforcement Learning☆84Updated last month
- ☆143Updated 3 months ago
- The official implementation of "Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks"☆53Updated 11 months ago
- Critique-out-Loud Reward Models☆56Updated 5 months ago
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆54Updated 5 months ago
- ☆128Updated last week
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆104Updated this week
- Code implementation of synthetic continued pretraining☆95Updated 2 months ago
- Research Code for preprint "Optimizing Test-Time Compute via Meta Reinforcement Finetuning".☆74Updated 2 weeks ago
- AutoCoA (Automatic generation of Chain-of-Action) is an agent model framework that enhances the multi-turn tool usage capability of reaso…☆68Updated last week
- The code of arxiv paper: "CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis"☆23Updated 2 months ago
- [ICLR 2025] Benchmarking Agentic Workflow Generation☆63Updated last month
- On Memorization of Large Language Models in Logical Reasoning☆59Updated 4 months ago
- [preprint] We propose a novel fine-tuning method, Separate Memory and Reasoning, which combines prompt tuning with LoRA.☆43Updated 3 months ago
- [ACL2024] Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios☆54Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆137Updated 5 months ago
- ☆103Updated 2 months ago