Alternatives and similar repositories for CoRe

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

• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 6 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆39Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆85Updated last year
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆76Updated 7 months ago
• YuxiXie / SelfEval-Guided-Decoding
  ☆102Updated 2 years ago
• WeiminXiong / IPR
  Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)
  ☆64Updated last year
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• ChengpengLi1003 / DotaMath
  ☆30Updated 11 months ago
• zjunlp / TRICE
  [NAACL 2024] Making Language Models Better Tool Learners with Execution Feedback
  ☆42Updated last year
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆49Updated last year
• BenfengXu / KNNPrompting
  Released code for our ICLR23 paper.
  ☆66Updated 2 years ago
• feyzaakyurek / rl4f
  Code for RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL 2023.
  ☆64Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆83Updated 11 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 2 months ago
• weizhepei / WebAgent-R1
  [EMNLP 2025] WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning
  ☆63Updated last month
• 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
• lifan-yuan / CRAFT
  Code for ICLR 2024 paper "CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets"
  ☆60Updated last year
• yegcjs / mixinglaws
  ☆109Updated 5 months ago
• JetRunner / SuperICL
  Code for "Small Models are Valuable Plug-ins for Large Language Models"
  ☆132Updated 2 years ago
• FreedomIntelligence / OVM
  ☆70Updated last year
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆52Updated 4 months ago
• csitfun / LogiQA2.0
  Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks
  ☆100Updated 2 years ago
• thu-coai / PICL
  Code for ACL2023 paper: Pre-Training to Learn in Context
  ☆106Updated last year
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆37Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year
• ZeroYuHuang / Transformer-Patcher
  ☆32Updated 2 years ago
• OSU-NLP-Group / llm-planning-eval
  [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
  ☆54Updated last year
• GAIR-NLP / OPO
  ☆51Updated last year