qcznlp / uncertainty_attack

Related projects ⓘ

Alternatives and complementary repositories for uncertainty_attack

• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs?
  ☆25Updated 5 months ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆31Updated 6 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆26Updated 7 months ago
• GAIR-NLP / MetaCritique
  Evaluate the Quality of Critique
  ☆35Updated 5 months ago
• Zce1112zslx / IKE
  ☆40Updated 11 months ago
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆24Updated last year
• umd-huang-lab / Mementos
  ☆25Updated 9 months ago
• Hritikbansal / dove
  ☆12Updated 5 months ago
• ychen-stat-ml / kernel-adapters
  Code for "Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning" (EMNLP 2022) and "Empowering Parameter-Efficient Transfer Learning…
  ☆11Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆34Updated last month
• unbiarirang / Fixed-Input-Parameterization
  This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"
  ☆33Updated 2 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆33Updated last week
• petezh / OpenD5
  Tasks for describing differences between text distributions.
  ☆16Updated 3 months ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆15Updated last year
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 2 months ago
• Jiuzhouh / Uncertainty-Aware-Language-Agent
  This is the official repo for Towards Uncertainty-Aware Language Agent.
  ☆22Updated 3 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆19Updated last month
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆23Updated last month
• GAIR-NLP / weak-to-strong-reasoning
  ☆54Updated 2 months ago
• ECNU-ICALK / MELO
  [AAAI 2024] MELO: Enhancing Model Editing with Neuron-indexed Dynamic LoRA
  ☆21Updated 7 months ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆17Updated 2 months ago
• waltonfuture / Diff-eRank
  [NeurIPS 2024] A Novel Rank-Based Metric for Evaluating Large Language Models
  ☆27Updated last week
• ctlllll / reward_collapse
  ☆26Updated last year
• junkangwu / beta-DPO
  [NeurIPS 2024] Official code of $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
  ☆32Updated last month
• activatedgeek / calibration-tuning
  ☆36Updated 3 months ago
• yizhongw / llm-temporal-alignment
  Methods and evaluation for aligning language models temporally
  ☆24Updated 8 months ago
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆33Updated 10 months ago
• Yangyi-Chen / CoTConsistency
  The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".
  ☆32Updated last year
• TianduoWang / DPO-ST
  [ACL 2024] Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
  ☆30Updated 3 months ago
• hbin0701 / Self-Explore
  [EMNLP Findings 2024 & ACL 2024 NLRSE Oral] Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
  ☆44Updated 6 months ago