Alternatives and similar repositories for DataSciBench

Users that are interested in DataSciBench are comparing it to the libraries listed below

• LiqiangJing / DSBench
  [ICLR 2025] DSBench: How Far are Data Science Agents from Becoming Data Science Experts?
  ☆78Updated 2 months ago
• SIMONLQY / RethinkMCTS
  ☆29Updated last year
• THUDM / T1
  RL Scaling and Test-Time Scaling (ICML'25)
  ☆111Updated 9 months ago
• thu-coai / SPaR
  ☆46Updated 4 months ago
• Reason-Wang / NAT
  [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…
  ☆29Updated last year
• Gen-Verse / CURE
  [NeurIPS 2025 Spotlight] ReasonFlux-Coder: Open-Source LLM Coders with Co-Evolving Reinforcement Learning
  ☆130Updated last month
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆108Updated 3 months ago
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆64Updated 8 months ago
• jwliao-ai / MARFT
  ☆69Updated last month
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆62Updated last year
• zitian-gao / SC-MCTS
  Interpretable Contrastive Monte Carlo Tree Search Reasoning
  ☆48Updated 11 months ago
• MLE-Dojo / MLE-Dojo
  ☆77Updated 2 months ago
• wenjunli-0 / deepresearch-survey
  a survey on deep research
  ☆35Updated last month
• likenneth / dialogue_action_token
  Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner
  ☆28Updated last year
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 4 months ago
• nuster1128 / MemEngine
  A Comprehensive Library for Memory of LLM-based Agents.
  ☆86Updated 5 months ago
• PorUna-byte / PAR
  ☆20Updated 2 months ago
• quchangle1 / DRAFT
  The implementation for ICLR 2025 Oral: From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.
  ☆48Updated 2 months ago
• THU-KEG / Agentic-Reward-Modeling
  [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆108Updated 4 months ago
• THUDM / SciGLM
  SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning (NeurIPS D&B Track 2024)
  ☆83Updated last year
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆52Updated last year
• RUC-NLPIR / OmniEval
  Open source code of the paper: "OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain"
  ☆72Updated 10 months ago
• open-compass / GPassK
  [ACL 2025] Are Your LLMs Capable of Stable Reasoning?
  ☆31Updated 2 months ago
• mukhal / ThinkPRM
  Process Reward Models That Think
  ☆60Updated 2 weeks ago
• GAIR-NLP / scaleeval
  Scalable Meta-Evaluation of LLMs as Evaluators
  ☆42Updated last year
• MurongYue / LLM_MoT_cascade
  This is the implementation for the paper "LARGE LANGUAGE MODEL CASCADES WITH MIX- TURE OF THOUGHT REPRESENTATIONS FOR COST- EFFICIENT REA…
  ☆27Updated last year
• martin-wey / CodeUltraFeedback
  CodeUltraFeedback: aligning large language models to coding preferences (TOSEM 2025)
  ☆72Updated last year
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆62Updated 10 months ago
• wlzhang2020 / ReasonRAG
  Source code of paper: Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
  ☆38Updated 4 months ago
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆25Updated 6 months ago