Alternatives and similar repositories for Co-Reward

Users that are interested in Co-Reward are comparing it to the libraries listed below

• resistzzz / Co-Reward
  Co-Reward: Self-supervised RL for LLM Reasoning via Contrastive Agreement
  ☆26Updated this week
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 3 weeks ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆46Updated 10 months ago
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆24Updated 5 months ago
• Dongping-Chen / MLLM-Judge
  [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.
  ☆78Updated 5 months ago
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆29Updated 5 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆88Updated 9 months ago
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆14Updated last year
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆34Updated 8 months ago
• AI45Lab / REEF
  The repository of the paper "REEF: Representation Encoding Fingerprints for Large Language Models," aims to protect the IP of open-source…
  ☆59Updated 6 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 2 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 10 months ago
• tmlr-group / EOE
  [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"
  ☆12Updated 6 months ago
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆81Updated last month
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆81Updated 9 months ago
• arumaekawa / DiLM
  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
  ☆22Updated 6 months ago
• QingyangZhang / EMPO
  EMPO, A Fully Unsupervised RLVR Method
  ☆56Updated last week
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆29Updated last year
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆12Updated 5 months ago
• gzcch / Bingo
  ☆55Updated last year
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆35Updated last year
• OpenKG-ORG / EasyDetect
  An Easy-to-use Hallucination Detection Framework for LLMs.
  ☆60Updated last year
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated last year
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated 2 years ago
• SophieZheng998 / ALI-Agent
  Official implementation for "ALI-Agent: Assessing LLMs'Alignment with Human Values via Agent-based Evaluation"
  ☆19Updated last week
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆52Updated 4 months ago
• Pbihao / SLM
  ☆28Updated last year
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆28Updated 8 months ago
• Ahren09 / AgentReview
  Official Implementation for EMNLP 2024 (main) "AgentReview: Exploring Academic Peer Review with LLM Agent."
  ☆83Updated 9 months ago
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago