:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sohn, Jimin, Cho, Jeihee, Lee, Junyong, Heo, Songmu, Han, Ji-Eun, Mortensen, David R.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.16521
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Lingual IPA Contrastive Learning for Zero-Shot NER
by: Sohn, Jimin, et al.
Published: (2025)

Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
by: Sohn, Jimin, et al.
Published: (2024)

Not All Personas Are Worth It: Culture-Reflective Persona Data Augmentation
by: Han, Ji-Eun, et al.
Published: (2025)

Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
by: Jung, Haeji, et al.
Published: (2024)

Accelerating Multilingual Language Model for Excessively Tokenized Languages
by: Hong, Jimin, et al.
Published: (2024)

Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
by: Saito, Kuniaki, et al.
Published: (2024)

PICKT: Practical Interlinked Concept Knowledge Tracing for Personalized Learning using Knowledge Map Concept Relations
by: Lee, Wonbeen, et al.
Published: (2025)

KMI: A Dataset of Korean Motivational Interviewing Dialogues for Psychotherapy
by: Kim, Hyunjong, et al.
Published: (2025)

GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses
by: Mun, Jimin, et al.
Published: (2026)

Computation Mechanism Behind LLM Position Generalization
by: Han, Chi, et al.
Published: (2025)

Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
by: Yu, Sangwon, et al.
Published: (2024)

Enhancing Circuit Trainability with Selective Gate Activation Strategy
by: Cho, Jeihee, et al.
Published: (2025)

System-Level Natural Language Feedback
by: Yuan, Weizhe, et al.
Published: (2023)

Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
by: Chen, Kexin, et al.
Published: (2025)

Integrated Framework for LLM Evaluation with Answer Generation
by: Lee, Sujeong, et al.
Published: (2025)

HuDEx: Integrating Hallucination Detection and Explainability for Enhancing the Reliability of LLM responses
by: Lee, Sujeong, et al.
Published: (2025)

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning
by: Silver, Sam, et al.
Published: (2025)

Happiness is Sharing a Vocabulary: A Study of Transliteration Methods
by: Jung, Haeji, et al.
Published: (2025)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
by: Kim, Jaekyeom, et al.
Published: (2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
by: Lee, Kyungjae, et al.
Published: (2024)

$C^2$: Scalable Auto-Feedback for LLM-based Chart Generation
by: Koh, Woosung, et al.
Published: (2024)

ReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis
by: Naik, Atharva, et al.
Published: (2026)

Harnessing Linguistic Dissimilarity for Language Generalization on Unseen Low-Resource Varieties
by: Kim, Jinju, et al.
Published: (2026)

Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
by: Tan, Shawn, et al.
Published: (2024)

Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment
by: Choi, Kwanghee, et al.
Published: (2025)

Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback
by: Towle, Benjamin, et al.
Published: (2024)

LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback
by: Banerjee, Tanushree, et al.
Published: (2024)

Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed Refinement
by: Shim, Midan, et al.
Published: (2026)

Taming LLMs with Negative Samples: A Reference-Free Framework to Evaluate Presentation Content with Actionable Feedback
by: Muppidi, Ananth, et al.
Published: (2025)

Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
by: Jeong, Minbyul, et al.
Published: (2024)

NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
by: Jin, Hyundong, et al.
Published: (2026)

A Study on Leveraging Search and Self-Feedback for Agent Reasoning
by: K, Karthikeyan, et al.
Published: (2025)

CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation
by: Lee, Kun-Hui, et al.
Published: (2025)

SELF: Self-Evolution with Language Feedback
by: Lu, Jianqiao, et al.
Published: (2023)

Finding My Voice: Generative Reconstruction of Disordered Speech for Automated Clinical Evaluation
by: Rosero, Karen, et al.
Published: (2025)

Self-Refinement of Language Models from External Proxy Metrics Feedback
by: Ramji, Keshav, et al.
Published: (2024)

Learning to Summarize from LLM-generated Feedback
by: Song, Hwanjun, et al.
Published: (2024)

Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization
by: Duan, Shitong, et al.
Published: (2024)

Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models
by: Lee, Jung Hyun, et al.
Published: (2024)

TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant?
by: Park, Jiho, et al.
Published: (2025)