Cover Image

Few-shot Personalization of LLMs with Mis-aligned Responses

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Jaehyung, Yang, Yiming
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Correct for QA Reasoning with Black-box LLMs
by: Kim, Jaehyung, et al.
Published: (2024)

Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
by: Tice, Cameron, et al.
Published: (2026)

Gap-K%: Measuring Top-1 Prediction Gap for Detecting Pretraining Data
by: Kwak, Minseo, et al.
Published: (2026)

Training-free LLM Verification via Recycling Few-shot Examples
by: Lee, Dongseok, et al.
Published: (2025)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
by: Kim, Dongyoung, et al.
Published: (2024)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
by: Yang, Yu, et al.
Published: (2024)

PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
by: Park, Junho, et al.
Published: (2026)

Tabular Transfer Learning via Prompting LLMs
by: Nam, Jaehyun, et al.
Published: (2024)

A Zero-shot and Few-shot Study of Instruction-Finetuned Large Language Models Applied to Clinical and Biomedical Tasks
by: Labrak, Yanis, et al.
Published: (2023)

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs
by: Kim, Jaehyung, et al.
Published: (2024)

LAMPO: Large Language Models as Preference Machines for Few-shot Ordinal Classification
by: Qin, Zhen, et al.
Published: (2024)

The Amazing Agent Race: Strong Tool Users, Weak Navigators
by: Kim, Zae Myung, et al.
Published: (2026)

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
by: Wang, Qingyun, et al.
Published: (2024)

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages
by: Halitaj, Aida, et al.
Published: (2025)

(Mis)Fitting: A Survey of Scaling Laws
by: Li, Margaret, et al.
Published: (2025)

MisSynth: Improving MISSCI Logical Fallacies Classification with Synthetic Data
by: Poliakov, Mykhailo, et al.
Published: (2025)

Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)

BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition
by: Guo, Quanjiang, et al.
Published: (2024)

Selective Prompting Tuning for Personalized Conversations with LLMs
by: Huang, Qiushi, et al.
Published: (2024)

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
by: Burdisso, Sergio, et al.
Published: (2022)

Few-shot Continual Relation Extraction via Open Information Extraction
by: Nguyen, Thiem, et al.
Published: (2025)

LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
by: Wang, Duo, et al.
Published: (2024)

Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
by: Hamman, Faisal, et al.
Published: (2025)

Universal Response and Emergence of Induction in LLMs
by: Luick, Niclas
Published: (2024)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)

Online Personalizing White-box LLMs Generation with Neural Bandits
by: Chen, Zekai, et al.
Published: (2024)

Enabling Weak LLMs to Judge Response Reliability via Meta Ranking
by: Liu, Zijun, et al.
Published: (2024)

LoRe: Personalizing LLMs via Low-Rank Reward Modeling
by: Bose, Avinandan, et al.
Published: (2025)

Generative Retrieval with Few-shot Indexing
by: Askari, Arian, et al.
Published: (2024)

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
by: Wang, Taowen, et al.
Published: (2024)

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses
by: Jiang, Dongwei, et al.
Published: (2024)

EMCEE: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual Context
by: Koo, Hamin, et al.
Published: (2025)

Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
by: Kang, Minjae, et al.
Published: (2026)

Are aligned neural networks adversarially aligned?
by: Carlini, Nicholas, et al.
Published: (2023)

Prefill-Guided Thinking for zero-shot detection of AI-generated images
by: Kachwala, Zoher, et al.
Published: (2025)

FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users
by: Singh, Anikait, et al.
Published: (2025)

DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
by: Kim, Siun, et al.
Published: (2026)

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
by: Akyürek, Ekin, et al.
Published: (2024)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
by: Zhang, Yifan, et al.
Published: (2024)