Alternatives and similar repositories for Alignment-Goal-Survey

Users that are interested in Alignment-Goal-Survey are comparing it to the libraries listed below

• GAIR-NLP / alignment-for-honesty
  ☆75Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆62Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆59Updated 11 months ago
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆58Updated 8 months ago
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆108Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• FreedomIntelligence / OVM
  ☆68Updated last year
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆36Updated last year
• rookie-joe / AutoPSV
  ☆49Updated 10 months ago
• ZHZisZZ / weak-to-strong-search
  [NeurIPS'24] Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
  ☆62Updated 8 months ago
• Linear95 / DSP
  Domain-specific preference (DSP) data and customized RM fine-tuning.
  ☆25Updated last year
• wangjs9 / Aligned-dPM
  PyTorch implementation of experiments in the paper Aligning Language Models with Human Preferences via a Bayesian Approach
  ☆32Updated last year
• icip-cas / Verifier-Engineering
  Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
  ☆61Updated 8 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• chujiezheng / LLM-Extrapolation
  Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"
  ☆75Updated 3 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆69Updated 8 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆114Updated 11 months ago
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆27Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated 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 7 months ago
• Shentao-YANG / Preference_Grounded_Guidance
  Source codes for "Preference-grounded Token-level Guidance for Language Model Fine-tuning" (NeurIPS 2023).
  ☆16Updated 7 months ago
• zhu-minjun / PAlign
  Personality Alignment of Language Models
  ☆41Updated last month
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆77Updated 2 years ago
• ernie-research / Tool-Augmented-Reward-Model
  [ICLR'24 spotlight] Tool-Augmented Reward Modeling
  ☆51Updated 2 months ago
• ADaM-BJTU / W2SG
  The code of “Improving Weak-to-Strong Generalization with Scalable Oversight and Ensemble Learning”
  ☆17Updated last year