Alternatives and similar repositories for in-context-mechanism

Users that are interested in in-context-mechanism are comparing it to the libraries listed below

• UCSB-NLP-Chang / llm_uncertainty
  ☆29Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 4 months ago
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆25Updated 3 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆57Updated 5 months ago
• javiferran / sae_entities
  ☆31Updated 2 months ago
• tianyi-lab / Mosaic-IT
  Mosaic IT: Enhancing Instruction Tuning with Data Mosaics
  ☆18Updated 3 months ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆32Updated 5 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• SumilerGAO / SunGen
  ☆26Updated 2 years ago
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆42Updated last month
• adymaharana / d2pruning
  ☆35Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆49Updated 8 months ago
• deeplearning-wisc / args
  ☆40Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆42Updated 6 months ago
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆24Updated 11 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 5 months ago
• Zce1112zslx / IKE
  ☆41Updated last year
• Hritikbansal / jpo
  ☆12Updated 4 months ago
• SteveKGYang / MetaAligner
  Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
  ☆18Updated 7 months ago
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆22Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆36Updated 7 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆76Updated 4 months ago
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated 10 months ago
• activatedgeek / calibration-tuning
  ☆51Updated last month
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆24Updated 10 months ago
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆24Updated 4 months ago
• wangywUST / DeepEdit
  Repository for our paper "DeepEdit: Knowledge Editing as Decoding with Constraints". https://arxiv.org/abs/2401.10471
  ☆19Updated 10 months ago
• lezhang7 / MOQAGPT
  [EMNLP'2023 Findings] MoqaGPT, for zero-shot multimodal question answering with LLMs
  ☆12Updated 4 months ago