:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Choo, Jinho, Lee, JunSeung, Kim, Jimyeong, Song, Yeeho, Hong, S. K., Kwon, Yeong-Dae
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2604.26553
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reinforcement learning to learn quantum states for Heisenberg scaling accuracy
by: Jae, Jeongwoo, et al.
Published: (2024)

Reinforcement Learning to Learn Quantum States for Heisenberg Scaling Accuracy
by: Jeongwoo Jae, et al.
Published: (2025)

Understanding and Mitigating Language Confusion in LLMs
by: Marchisio, Kelly, et al.
Published: (2024)

Mechanistic Understanding and Mitigation of Language Confusion in English-Centric Large Language Models
by: Nie, Ercong, et al.
Published: (2025)

Preference Consistency Matters: Enhancing Preference Learning in Language Models with Automated Self-Curation of Training Corpora
by: Lee, JoonHo, et al.
Published: (2024)

CAAP: Context-Aware Action Planning Prompting to Solve Computer Tasks with Front-End UI Only
by: Cho, Junhee, et al.
Published: (2024)

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
by: Choi, Minseok, et al.
Published: (2024)

When Confidence Misleads: Suffix Anchoring and Anchor-Proximity Confidence Modulation for Diffusion Language Models
by: Park, Jungwon, et al.
Published: (2026)

SCALE: Upscaled Continual Learning of Large Language Models
by: Lee, Jin-woo, et al.
Published: (2025)

Beyond Token-Level Policy Gradients for Complex Reasoning with Large Language Models
by: Xu, Mufan, et al.
Published: (2026)

Controlling Language Confusion in Multilingual LLMs
by: Lee, Nahyun, et al.
Published: (2025)

CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
by: Shim, Jung-Woo, et al.
Published: (2025)

Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025)

ResT: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models
by: Lin, Zihan, et al.
Published: (2025)

Direct Token Optimization: A Self-contained Approach to Large Language Model Unlearning
by: Lee, Hong kyu, et al.
Published: (2025)

Token-Level Privacy in Large Language Models
by: Harel, Re'em, et al.
Published: (2025)

Rethinking Personalization in Large Language Models at the Token Level
by: Zhang, Chenheng, et al.
Published: (2026)

Adversarial Confusion Attack: Disrupting Multimodal Large Language Models
by: Hoscilowicz, Jakub, et al.
Published: (2025)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)

Soft Head Selection for Injecting ICL-Derived Task Embeddings
by: Park, Jungwon, et al.
Published: (2025)

Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation
by: Kang, Dongjin, et al.
Published: (2024)

Discriminative Policy Optimization for Token-Level Reward Models
by: Chen, Hongzhan, et al.
Published: (2025)

Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Sequence-Level Likelihood
by: Lin, Xingyu, et al.
Published: (2026)

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

Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via Markov Likelihood
by: Lin, Xingyu, et al.
Published: (2025)

Cross-Lingual Optimization for Language Transfer in Large Language Models
by: Lee, Jungseob, et al.
Published: (2025)

Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
by: Yang, Seungbin, et al.
Published: (2024)

GlitchProber: Advancing Effective Detection and Mitigation of Glitch Tokens in Large Language Models
by: Zhang, Zhibo, et al.
Published: (2024)

CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model
by: Go, Dongyoung, et al.
Published: (2024)

StablePrompt: Automatic Prompt Tuning using Reinforcement Learning for Large Language Models
by: Kwon, Minchan, et al.
Published: (2024)

Measuring Sycophancy of Language Models in Multi-turn Dialogues
by: Hong, Jiseung, et al.
Published: (2025)

Language-Agnostic Suicidal Risk Detection Using Large Language Models
by: Kim, June-Woo, et al.
Published: (2025)

RPM: Reasoning-Level Personalization for Black-Box Large Language Models
by: Kim, Jieyong, et al.
Published: (2025)

Mitigating Entity-Level Hallucination in Large Language Models
by: Su, Weihang, et al.
Published: (2024)

Keep Security! Benchmarking Security Policy Preservation in Large Language Model Contexts Against Indirect Attacks in Question Answering
by: Chang, Hwan, et al.
Published: (2025)

Token-Level Entropy Reveals Demographic Disparities in Language Models
by: Lee, Messi H. J.
Published: (2025)

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models
by: Hong, Haitao, et al.
Published: (2025)

Large Language Model as Token Compressor and Decompressor
by: Li, Wenbing, et al.
Published: (2026)

Scalable Token-Level Hallucination Detection in Large Language Models
by: Min, Rui, et al.
Published: (2026)

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation
by: Zhang, Songming, et al.
Published: (2025)