Alternatives and similar repositories for MoPS

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

• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆74Updated last month
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 10 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆62Updated last year
• ChengpengLi1003 / DotaMath
  ☆30Updated 6 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated 11 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆63Updated 7 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year
• wwxu21 / CUT
  Source code of "Reasons to Reject? Aligning Language Models with Judgments"
  ☆58Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆80Updated 6 months ago
• mukhal / GRACE
  [EMNLP '23] Discriminator-Guided Chain-of-Thought Reasoning
  ☆48Updated 9 months ago
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆27Updated last year
• GAIR-NLP / OlympicArena
  [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI
  ☆102Updated 4 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆127Updated last year
• HKUNLP / STRING
  [ICLR'25] Data and code for our paper "Why Does the Effective Context Length of LLMs Fall Short?"
  ☆77Updated 7 months ago
• KbsdJames / Omni-MATH
  The official repository of the Omni-MATH benchmark.
  ☆85Updated 6 months ago
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆69Updated last year
• chtmp223 / suri
  Suri: Multi-constraint instruction following for long-form text generation (EMNLP’24)
  ☆24Updated 8 months ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆50Updated last month
• GAIR-NLP / alignment-for-honesty
  ☆74Updated last year
• zthang / Focus
  ☆18Updated last year
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆114Updated last year
• FreedomIntelligence / OVM
  ☆67Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆81Updated last year
• TingchenFu / MathIF
  instruction-following benchmark for large reasoning models
  ☆35Updated last month
• Re-Align / AlignTDS
  Analyzing LLM Alignment via Token distribution shift
  ☆16Updated last year
• GAIR-NLP / self-improvement-reversal
  ☆13Updated last year
• hanqi-qi / Mirror
  ☆13Updated last year
• wzhouad / context-faithful-llm
  Code and data for paper "Context-faithful Prompting for Large Language Models".
  ☆40Updated 2 years ago
• kaistAI / Janus
  [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages
  ☆48Updated 7 months ago
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆56Updated 11 months ago