Cover Image

ADEPT: A DEbiasing PrompT Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Ke, Yu, Charles, Fung, Yi, Li, Manling, Ji, Heng
Format:	Preprint
Published:	2022
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
by: Zhang, Yuji, et al.
Published: (2024)

Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks
by: He, Jiayi, et al.
Published: (2024)

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders
by: Li, Cheng, et al.
Published: (2024)

Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)

Why Does New Knowledge Create Messy Ripple Effects in LLMs?
by: Qin, Jiaxin, et al.
Published: (2024)

ADEPT: Adaptive Dynamic Early-Exit Process for Transformers
by: Yoo, Sangmin, et al.
Published: (2026)

SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts
by: Reddy, Revanth Gangi, et al.
Published: (2023)

The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination
by: Zhang, Yuji, et al.
Published: (2025)

BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
by: Yang, Heng, et al.
Published: (2022)

LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation
by: Xuan, Keyang, et al.
Published: (2024)

RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
by: Moghaddam, Arya Hadizadeh, et al.
Published: (2026)

Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking
by: Fung, Yi, et al.
Published: (2024)

Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
by: Kim, Kyungha, et al.
Published: (2024)

Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization
by: Wu, Shujin, et al.
Published: (2025)

LSA: Modeling Aspect Sentiment Coherency via Local Sentiment Aggregation
by: Yang, Heng, et al.
Published: (2021)

The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
by: Yang, Heng, et al.
Published: (2023)

MACAROON: Training Vision-Language Models To Be Your Engaged Partners
by: Wu, Shujin, et al.
Published: (2024)

BLADE: Bias-Linked Adaptive DEbiasing
by: Arora, Piyush, et al.
Published: (2025)

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
by: Yang, Ke, et al.
Published: (2024)

Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning
by: He, Qi, et al.
Published: (2025)

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models
by: Qian, Cheng, et al.
Published: (2023)

CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering
by: Wang, Yumeng, et al.
Published: (2025)

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering
by: Guo, Xuehang, et al.
Published: (2025)

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
by: Fung, Yi R., et al.
Published: (2022)

Multimedia Generative Script Learning for Task Planning
by: Wang, Qingyun, et al.
Published: (2022)

Visually Descriptive Language Model for Vector Graphics Reasoning
by: Wang, Zhenhailong, et al.
Published: (2024)

Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy
by: Yu, Pengfei, et al.
Published: (2023)

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
by: Pan, Zhenyu, et al.
Published: (2024)

Bridging Sequence-Structure Alignment in RNA Foundation Models
by: Yang, Heng, et al.
Published: (2024)

OmniGenBench: Automating Large-scale in-silico Benchmarking for Genomic Foundation Models
by: Yang, Heng, et al.
Published: (2024)

Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement
by: Sun, Chenkai, et al.
Published: (2024)

Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action
by: Pan, Zhenyu, et al.
Published: (2024)

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
by: Yuan, Lifan, et al.
Published: (2023)

R-Tuning: Instructing Large Language Models to Say `I Don't Know'
by: Zhang, Hanning, et al.
Published: (2023)

Automating Intervention Discovery from Scientific Literature: A Progressive Ontology Prompting and Dual-LLM Framework
by: Hu, Yuting, et al.
Published: (2024)

ClinTutor-R1: Advancing Scalable and Robust One-to-Many Alignment in Clinical Socratic Education
by: He, Zhitao, et al.
Published: (2025)

CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis
by: Li, Jianfei, et al.
Published: (2025)

Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning
by: Huang, Kung-Hsiang, et al.
Published: (2023)

Advancing Language Multi-Agent Learning with Credit Re-Assignment for Interactive Environment Generalization
by: He, Zhitao, et al.
Published: (2025)

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL
by: Yang, Haolin, et al.
Published: (2025)