Alternatives and similar repositories for probing-lm-data

Users that are interested in probing-lm-data are comparing it to the libraries listed below

• fanqiwan / Explore-Instruct
  EMNLP'2023: Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration
  ☆36Updated last year
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆56Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆75Updated last year
• qinyiwei / InfoBench
  ☆56Updated last year
• zhaochen0110 / conflictbank
  Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…
  ☆51Updated 4 months ago
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆40Updated 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
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆77Updated last year
• Abbey4799 / CELLO
  Code and data for the paper "Can Large Language Models Understand Real-World Complex Instructions?"(AAAI2024)
  ☆49Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆116Updated last year
• RUCAIBox / Language-Specific-Neurons
  ☆84Updated 9 months ago
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated 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…
  ☆121Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆165Updated last year
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆82Updated 8 months ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆63Updated last year
• OpenLMLab / LongWanjuan
  Towards Systematic Measurement for Long Text Quality
  ☆36Updated last year
• pillowsofwind / Knowledge-Conflicts-Survey
  [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"
  ☆138Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• icip-cas / awesome-auto-alignment
  Collection of papers for scalable automated alignment.
  ☆93Updated 11 months ago
• THUNLP-MT / SKR
  Self-Knowledge Guided Retrieval Augmentation for Large Language Models (EMNLP Findings 2023)
  ☆28Updated last year
• FreedomIntelligence / OVM
  ☆69Updated last year
• hanningzhang / prm
  ☆17Updated 11 months ago
• YJiangcm / FollowBench
  [ACL 2024] FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models
  ☆114Updated 4 months ago
• QwenLM / ProcessBench
  Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"
  ☆172Updated 4 months ago
• pldlgb / nuggets
  ☆83Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆59Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• katiekang1998 / llm_hallucinations
  ☆17Updated last year
• zzhang0179 / Unveiling-Linguistic-Regions-in-LLMs
  [ACL 2024] Unveiling Linguistic Regions in Large Language Models
  ☆32Updated last year