Distributional Alignment as a Criterion for Designing Task Vectors in In-Context Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Kwon, Jihoon, Choi, Jiwon, Sohn, Jy-yong |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
par: Kwon, Jihoon, et autres
Publié: (2025)
par: Kwon, Jihoon, et autres
Publié: (2025)
Can Separators Improve Chain-of-Thought Prompting?
par: Park, Yoonjeong, et autres
Publié: (2024)
par: Park, Yoonjeong, et autres
Publié: (2024)
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
par: Kim, Juyeon, et autres
Publié: (2024)
par: Kim, Juyeon, et autres
Publié: (2024)
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
par: Jeon, Jaebyeong, et autres
Publié: (2025)
par: Jeon, Jaebyeong, et autres
Publié: (2025)
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
par: Lee, Chungpa, et autres
Publié: (2026)
par: Lee, Chungpa, et autres
Publié: (2026)
Improving Multi-lingual Alignment Through Soft Contrastive Learning
par: Park, Minsu, et autres
Publié: (2024)
par: Park, Minsu, et autres
Publié: (2024)
Aligning Large Language Models for Enhancing Psychiatric Interviews Through Symptom Delineation and Summarization: Pilot Study
par: So, Jae-hee, et autres
Publié: (2024)
par: So, Jae-hee, et autres
Publié: (2024)
Linq-Embed-Mistral Technical Report
par: Choi, Chanyeol, et autres
Publié: (2024)
par: Choi, Chanyeol, et autres
Publié: (2024)
Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task Assistance
par: Choi, Dongwook, et autres
Publié: (2025)
par: Choi, Dongwook, et autres
Publié: (2025)
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
par: Han, Seungwook, et autres
Publié: (2024)
par: Han, Seungwook, et autres
Publié: (2024)
CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive Tasks
par: Choi, Sunguk, et autres
Publié: (2025)
par: Choi, Sunguk, et autres
Publié: (2025)
Extracting and Steering Emotion Representations in Small Language Models: A Methodological Comparison
par: Jeong, Jihoon
Publié: (2026)
par: Jeong, Jihoon
Publié: (2026)
Shared Emotion Geometry Across Small Language Models: A Cross-Architecture Study of Representation, Behavior, and Methodological Confounds
par: Jeong, Jihoon
Publié: (2026)
par: Jeong, Jihoon
Publié: (2026)
MTI: A Behavior-Based Temperament Profiling System for AI Agents
par: Jeong, Jihoon
Publié: (2026)
par: Jeong, Jihoon
Publié: (2026)
In-Context Learning State Vector with Inner and Momentum Optimization
par: Li, Dongfang, et autres
Publié: (2024)
par: Li, Dongfang, et autres
Publié: (2024)
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
par: Huang, Brandon, et autres
Publié: (2024)
par: Huang, Brandon, et autres
Publié: (2024)
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment
par: Huang, Heyan, et autres
Publié: (2024)
par: Huang, Heyan, et autres
Publié: (2024)
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
par: Lim, Sehee, et autres
Publié: (2024)
par: Lim, Sehee, et autres
Publié: (2024)
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
par: Zhang, Pieyi, et autres
Publié: (2025)
par: Zhang, Pieyi, et autres
Publié: (2025)
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
par: Kwon, Yeonsu, et autres
Publié: (2026)
par: Kwon, Yeonsu, et autres
Publié: (2026)
Hit-RAG: Learning to Reason with Long Contexts via Preference Alignment
par: Liu, Junming, et autres
Publié: (2026)
par: Liu, Junming, et autres
Publié: (2026)
How to Correctly Report LLM-as-a-Judge Evaluations
par: Lee, Chungpa, et autres
Publié: (2025)
par: Lee, Chungpa, et autres
Publié: (2025)
M-CARE: Standardized Clinical Case Reporting for AI Model Behavioral Disorders, with a 20-Case Atlas and Experimental Validation
par: Jeong, Jihoon
Publié: (2026)
par: Jeong, Jihoon
Publié: (2026)
Model Medicine: A Clinical Framework for Understanding, Diagnosing, and Treating AI Models
par: Jeong, Jihoon
Publié: (2026)
par: Jeong, Jihoon
Publié: (2026)
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER
par: Sohn, Jimin, et autres
Publié: (2025)
par: Sohn, Jimin, et autres
Publié: (2025)
Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
par: Sorensen, Taylor, et autres
Publié: (2025)
par: Sorensen, Taylor, et autres
Publié: (2025)
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning
par: Cho, Hyundong, et autres
Publié: (2025)
par: Cho, Hyundong, et autres
Publié: (2025)
ASTRA: A Negotiation Agent with Adaptive and Strategic Reasoning via Tool-integrated Action for Dynamic Offer Optimization
par: Kwon, Deuksin, et autres
Publié: (2025)
par: Kwon, Deuksin, et autres
Publié: (2025)
Many-Shot In-Context Learning for Molecular Inverse Design
par: Moayedpour, Saeed, et autres
Publié: (2024)
par: Moayedpour, Saeed, et autres
Publié: (2024)
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
par: Choi, Hyeong Kyu, et autres
Publié: (2024)
par: Choi, Hyeong Kyu, et autres
Publié: (2024)
Vector-ICL: In-context Learning with Continuous Vector Representations
par: Zhuang, Yufan, et autres
Publié: (2024)
par: Zhuang, Yufan, et autres
Publié: (2024)
Personality Expression Across Contexts: Linguistic and Behavioral Variation in LLM Agents
par: Han, Bin, et autres
Publié: (2026)
par: Han, Bin, et autres
Publié: (2026)
Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant
par: Lee, Jemin, et autres
Publié: (2024)
par: Lee, Jemin, et autres
Publié: (2024)
GATEAU: Selecting Influential Samples for Long Context Alignment
par: Si, Shuzheng, et autres
Publié: (2024)
par: Si, Shuzheng, et autres
Publié: (2024)
DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs
par: Choi, Nayoung, et autres
Publié: (2026)
par: Choi, Nayoung, et autres
Publié: (2026)
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
par: Shirafuji, Daiki, et autres
Publié: (2024)
par: Shirafuji, Daiki, et autres
Publié: (2024)
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
par: Sorensen, Taylor, et autres
Publié: (2025)
par: Sorensen, Taylor, et autres
Publié: (2025)
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
par: Park, Seong-Il, et autres
Publié: (2024)
par: Park, Seong-Il, et autres
Publié: (2024)
Towards Context-Invariant Safety Alignment for Large Language Models
par: Wang, Yixu, et autres
Publié: (2026)
par: Wang, Yixu, et autres
Publié: (2026)
Criterion Validity of LLM-as-Judge for Business Outcomes in Conversational Commerce
par: Chen, Liang, et autres
Publié: (2026)
par: Chen, Liang, et autres
Publié: (2026)
Documents similaires
-
Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions
par: Kwon, Jihoon, et autres
Publié: (2025) -
Can Separators Improve Chain-of-Thought Prompting?
par: Park, Yoonjeong, et autres
Publié: (2024) -
Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses
par: Kim, Juyeon, et autres
Publié: (2024) -
Soft Task-Aware Routing of Experts for Equivariant Representation Learning
par: Jeon, Jaebyeong, et autres
Publié: (2025) -
Fine-Tuning Without Forgetting In-Context Learning: A Theoretical Analysis of Linear Attention Models
par: Lee, Chungpa, et autres
Publié: (2026)