Alternatives and similar repositories for trust-align

Users that are interested in trust-align are comparing it to the libraries listed below

• THU-KEG / Agentic-Reward-Modeling
  [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
  ☆125Updated 7 months ago
• tianyang-x / SaySelf
  Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"
  ☆112Updated last year
• WindyLee0822 / Process_Q_Model
  official implementation of paper "Process Reward Model with Q-value Rankings"
  ☆65Updated last year
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆163Updated 2 months ago
• voidism / Lookback-Lens
  Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"
  ☆142Updated 3 months ago
• weizhepei / InstructRAG
  [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales
  ☆136Updated last year
• kevinwu23 / StanfordClashEval
  ☆38Updated last year
• MingLiiii / Layer_Gradient
  [ACL'25 Oral] What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
  ☆75Updated 7 months ago
• ScalerLab / JudgeBench
  ☆107Updated last year
• Yu-Fangxu / FoR
  [ICML 2025] Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples
  ☆120Updated last week
• SalesforceAIResearch / FaithEval
  ☆59Updated 2 months ago
• DataArcTech / LLM-as-a-Judge
  ☆169Updated 3 months ago
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆144Updated last year
• google / spiqa
  Code release for "SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers" [NeurIPS D&B, 2024]
  ☆72Updated last year
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆34Updated last year
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆52Updated 11 months ago
• David-Li0406 / Preference-Leakage
  ☆52Updated 8 months ago
• zjunlp / unlearn
  [ACL 2025] Knowledge Unlearning for Large Language Models
  ☆48Updated 4 months ago
• yale-nlp / MCTS-RAG
  Data and Code for EMNLP 2025 Findings Paper "MCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree Search"
  ☆86Updated 3 months ago
• Anni-Zou / DocBench
  DocBench: A Benchmark for Evaluating LLM-based Document Reading Systems
  ☆65Updated last year
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆180Updated 7 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆142Updated 10 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"
  ☆81Updated last year
• Zayne-sprague / To-CoT-or-not-to-CoT
  ☆25Updated 9 months ago
• YangLing0818 / SuperCorrect-llm
  [ICLR 2025] SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
  ☆87Updated 10 months ago
• LAMDASZ-ML / Self-Backtracking
  ☆52Updated 11 months ago
• activatedgeek / calibration-tuning
  ☆53Updated 9 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆127Updated last year
• suzgunmirac / dynamic-cheatsheet
  Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
  ☆249Updated 8 months ago
• tajwarfahim / paprika
  Official Code Release for "Training a Generally Curious Agent"
  ☆44Updated 8 months ago