Alternatives and similar repositories for ICD

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

• RUCAIBox / HaluEval-2.0
  ☆48Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆34Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆71Updated 3 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆63Updated 2 years ago
• GAIR-NLP / alignment-for-honesty
  ☆77Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆118Updated last year
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆64Updated last year
• Zce1112zslx / IKE
  ☆41Updated 2 years ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆55Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago
• yinzhangyue / SelfAware
  Do Large Language Models Know What They Don’t Know?
  ☆102Updated last year
• nayeon7lee / FactualityPrompt
  ☆88Updated 3 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"
  ☆79Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆85Updated last year
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆168Updated 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 11 months ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆76Updated last year
• qinyiwei / InfoBench
  ☆57Updated last year
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆30Updated last year
• October2001 / ProLong
  [ACL 2024 (Oral)] A Prospector of Long-Dependency Data for Large Language Models
  ☆58Updated last year
• F2-Song / ICDPO
  The official implementation of "ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization…
  ☆16Updated last year
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆31Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• Shark-NLP / self-adaptive-ICL
  self-adaptive in-context learning
  ☆45Updated 2 years ago
• OhadRubin / EPR
  ☆64Updated 3 years ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆64Updated 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
• FreedomIntelligence / OVM
  ☆70Updated last year
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆41Updated last year