Alternatives and similar repositories for llm_uncertainty

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

• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆24Updated 11 months ago
• deeplearning-wisc / args
  ☆40Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆64Updated 7 months ago
• Lingkai-Kong / RE-Control
  Code for paper: Aligning Large Language Models with Representation Editing: A Control Perspective
  ☆29Updated 3 months ago
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆35Updated 3 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• zepingyu0512 / in-context-mechanism
  code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…
  ☆11Updated 5 months ago
• adamxyang / laplace-lora
  Bayesian low-rank adaptation for large language models
  ☆23Updated last year
• AlexanderVNikitin / kernel-language-entropy
  Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
  ☆21Updated 4 months ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆36Updated 7 months ago
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆41Updated last month
• tianyi-lab / Mosaic-IT
  Mosaic IT: Enhancing Instruction Tuning with Data Mosaics
  ☆18Updated 3 months ago
• balevinstein / Probes
  ☆50Updated last year
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆22Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆76Updated 4 months ago
• princeton-nlp / unintentional-unalignment
  [ICLR 2025] Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization
  ☆25Updated 3 months ago
• javiferran / sae_entities
  ☆29Updated 2 months ago
• launchnlp / LitCab
  ☆22Updated 7 months ago
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆115Updated last year
• 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
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆24Updated 9 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
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆72Updated 2 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated 3 months ago
• YuejiangLIU / csl
  Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
  ☆16Updated last year
• SumilerGAO / SunGen
  ☆26Updated 2 years ago
• lingchen0331 / UQ_ICL
  Uncertainty quantification for in-context learning of large language models
  ☆16Updated last year
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• Wuyxin / DISC
  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
  ☆41Updated last year