Alternatives and similar repositories for LLM-MCQ-Bias

Users that are interested in LLM-MCQ-Bias are comparing it to the libraries listed below

• dannyallover / overthinking_the_truth
  ☆29Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆118Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆127Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆70Updated 2 weeks ago
• roeehendel / icl_task_vectors
  ☆103Updated 2 years ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆81Updated 2 years ago
• FreedomIntelligence / OVM
  ☆72Updated last year
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆132Updated 2 years ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆83Updated last year
• genrm-star / genrm-critiques
  GenRM-CoT: Data release for verification rationales
  ☆67Updated last year
• GAIR-NLP / alignment-for-honesty
  ☆78Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆183Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆71Updated 3 years ago
• TianHongZXY / RLVR-Decomposed
  [NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
  ☆157Updated 3 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆77Updated 3 months ago
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆109Updated 2 weeks ago
• qtli / GSM-Plus
  GSM-Plus: Data, Code, and Evaluation for Enhancing Robust Mathematical Reasoning in Math Word Problems.
  ☆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…
  ☆129Updated last year
• SuperBruceJia / Awesome-LLM-Self-Consistency
  Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
  ☆119Updated 6 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆51Updated 2 years ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆124Updated last year
• wenhuchen / ML-Interview
  Preparing for ML Interviews.
  ☆53Updated 3 weeks ago
• cxcscmu / MATES
  Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]
  ☆79Updated last year
• princeton-nlp / QuRating
  [ICML 2024] Selecting High-Quality Data for Training Language Models
  ☆200Updated last month
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆50Updated last year
• swj0419 / in-context-pretraining
  ☆55Updated 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"
  ☆81Updated last year
• tatsu-lab / test_set_contamination
  ☆41Updated 2 years ago