Alternatives and similar repositories for acl23-preadd

Users that are interested in acl23-preadd are comparing it to the libraries listed below

• GAIR-NLP / alignment-for-honesty
  ☆78Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Updated 2 years ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆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 last year
• CriticBench / CriticBench
  [ACL 2024 Findings] CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
  ☆29Updated last year
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆76Updated 3 months ago
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆37Updated last year
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• JIA-Lab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆51Updated last year
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆82Updated last year
• zthang / Focus
  ☆22Updated 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…
  ☆126Updated last year
• tengxiaoliu / XoT
  [EMNLP 2023] Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts
  ☆27Updated 2 years ago
• ChengpengLi1003 / DotaMath
  ☆30Updated last year
• THUNLP-MT / SKR
  Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)
  ☆28Updated 2 years ago
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆41Updated last year
• KodCode-AI / code-r1
  Reproducing R1 for Code with Reliable Rewards
  ☆12Updated 9 months ago
• F2-Song / ICDPO
  The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization…
  ☆16Updated last year
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆134Updated last year
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆30Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆118Updated last year
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆64Updated last year
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆58Updated last year
• siyuyuan / coscript
  Resources for our ACL 2023 paper: Distilling Script Knowledge from Large Language Models for Constrained Language Planning
  ☆36Updated 2 years ago
• FreedomIntelligence / OVM
  ☆71Updated last year
• ZeroYuHuang / Transformer-Patcher
  ☆32Updated 2 years ago
• zhliu0106 / probing-lm-data
  Official Implementation of "Probing Language Models for Pre-training Data Detection"
  ☆20Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago