google-deepmind / questbenchLinks
☆30Updated 5 months ago
Alternatives and similar repositories for questbench
Users that are interested in questbench are comparing it to the libraries listed below
Sorting:
- [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples☆108Updated 3 months ago
- ☆122Updated 8 months ago
- [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems☆108Updated 4 months ago
- ☆35Updated 5 months ago
- Repository for the paper Stream of Search: Learning to Search in Language☆151Updated 8 months ago
- Can Language Models Solve Olympiad Programming?☆119Updated 9 months ago
- Official repo of paper LM2☆47Updated 8 months ago
- ☆77Updated 2 months ago
- Implementation of the paper: "AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?"☆63Updated 10 months ago
- The official implementation of Self-Exploring Language Models (SELM)☆64Updated last year
- Natural Language Reinforcement Learning☆98Updated 2 months ago
- Learning to Retrieve by Trying - Source code for Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval☆51Updated 11 months ago
- ☆100Updated last year
- Reinforcing General Reasoning without Verifiers☆91Updated 4 months ago
- A testbed for agents and environments that can automatically improve models through data generation.☆27Updated 7 months ago
- official implementation of paper "Process Reward Model with Q-value Rankings"☆64Updated 8 months ago
- Official Repo for InSTA: Towards Internet-Scale Training For Agents☆56Updated 3 months ago
- [COLM 2025] EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees☆25Updated 3 months ago
- Official Implementation of "DeLLMa: Decision Making Under Uncertainty with Large Language Models"☆64Updated last year
- accompanying material for sleep-time compute paper☆117Updated 5 months ago
- SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning☆71Updated 3 months ago
- Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation☆48Updated last year
- Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'☆233Updated 3 months ago
- Systematic evaluation framework that automatically rates overthinking behavior in large language models.☆93Updated 5 months ago
- ☆218Updated 8 months ago
- ☆15Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆75Updated last year
- Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…☆32Updated last year
- Code for ICML 2024 paper☆32Updated last month
- Interpretable Contrastive Monte Carlo Tree Search Reasoning☆48Updated 11 months ago