Saved in:
| Main Authors: | Park, Ji-jun, Choi, Soo-joon, Jeong, Jiwon, Yoon, Taeyang, Lee, Ju-Wan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.28825 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLMs for Enhanced Agricultural Meteorological Recommendations
by: Park, Ji-jun, et al.
Published: (2024)
by: Park, Ji-jun, et al.
Published: (2024)
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
by: Choi, Soo-joon, et al.
Published: (2025)
by: Choi, Soo-joon, et al.
Published: (2025)
Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives
by: Park, Ji-jun, et al.
Published: (2024)
by: Park, Ji-jun, et al.
Published: (2024)
ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
by: Han, Seungmin, et al.
Published: (2025)
by: Han, Seungmin, et al.
Published: (2025)
Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models
by: Hakimi, Ahmad Dawar, et al.
Published: (2025)
by: Hakimi, Ahmad Dawar, et al.
Published: (2025)
Large Language Models Are Better Logical Fallacy Reasoners with Counterargument, Explanation, and Goal-Aware Prompt Formulation
by: Jeong, Jiwon, et al.
Published: (2025)
by: Jeong, Jiwon, et al.
Published: (2025)
ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
by: Park, Yein, et al.
Published: (2024)
by: Park, Yein, et al.
Published: (2024)
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
by: Jeon, Hyesung, et al.
Published: (2024)
by: Jeon, Hyesung, et al.
Published: (2024)
MechIR: A Mechanistic Interpretability Framework for Information Retrieval
by: Parry, Andrew, et al.
Published: (2025)
by: Parry, Andrew, et al.
Published: (2025)
Eliciting Latent Knowledge from Quirky Language Models
by: Mallen, Alex, et al.
Published: (2023)
by: Mallen, Alex, et al.
Published: (2023)
Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization
by: Zhang, Weixu, et al.
Published: (2026)
by: Zhang, Weixu, et al.
Published: (2026)
FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark
by: Kim, Heegyu, et al.
Published: (2024)
by: Kim, Heegyu, et al.
Published: (2024)
OpenLearnLM Benchmark: A Unified Framework for Evaluating Knowledge, Skill, and Attitude in Educational Large Language Models
by: Lee, Unggi, et al.
Published: (2026)
by: Lee, Unggi, et al.
Published: (2026)
Pragmatic Competence Evaluation of Large Language Models for the Korean Language
by: Park, Dojun, et al.
Published: (2024)
by: Park, Dojun, et al.
Published: (2024)
STEAM: A Semantic-Level Knowledge Editing Framework for Large Language Models
by: Jeong, Geunyeong, et al.
Published: (2025)
by: Jeong, Geunyeong, et al.
Published: (2025)
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
by: Liu, Qi, et al.
Published: (2025)
by: Liu, Qi, et al.
Published: (2025)
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models
by: Kang, Minki, et al.
Published: (2024)
by: Kang, Minki, et al.
Published: (2024)
Mechanistic Interpretability of Emotion Inference in Large Language Models
by: Tak, Ala N., et al.
Published: (2025)
by: Tak, Ala N., et al.
Published: (2025)
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation
by: Park, Jonggwon, et al.
Published: (2024)
by: Park, Jonggwon, et al.
Published: (2024)
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
by: Cho, Hakaze, et al.
Published: (2025)
by: Cho, Hakaze, et al.
Published: (2025)
Read Like a Radiologist: Efficient Vision-Language Model for 3D Medical Imaging Interpretation
by: Lee, Changsun, et al.
Published: (2024)
by: Lee, Changsun, et al.
Published: (2024)
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
by: Yun, Taeyang, et al.
Published: (2024)
by: Yun, Taeyang, et al.
Published: (2024)
Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge
by: Park, Yang Jeong, et al.
Published: (2025)
by: Park, Yang Jeong, et al.
Published: (2025)
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
by: Choi, Hyeong Kyu, et al.
Published: (2024)
by: Choi, Hyeong Kyu, et al.
Published: (2024)
Mechanistic Circuit-Based Knowledge Editing in Large Language Models
by: Zhao, Tianyi, et al.
Published: (2026)
by: Zhao, Tianyi, et al.
Published: (2026)
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model
by: Yoon, Seungri, et al.
Published: (2025)
by: Yoon, Seungri, et al.
Published: (2025)
Adaptive Elicitation of Latent Information Using Natural Language
by: Wang, Jimmy, et al.
Published: (2025)
by: Wang, Jimmy, et al.
Published: (2025)
Eliciting and Analyzing Emergent Misalignment in State-of-the-Art Large Language Models
by: Panpatil, Siddhant, et al.
Published: (2025)
by: Panpatil, Siddhant, et al.
Published: (2025)
Towards Ethical Multi-Agent Systems of Large Language Models: A Mechanistic Interpretability Perspective
by: Lee, Jae Hee, et al.
Published: (2025)
by: Lee, Jae Hee, et al.
Published: (2025)
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
Knowledge Integration Decay in Search-Augmented Reasoning of Large Language Models
by: Yu, Sangwon, et al.
Published: (2026)
by: Yu, Sangwon, et al.
Published: (2026)
Mechanistic Interpretability for Large Language Model Alignment: Progress, Challenges, and Future Directions
by: Naseem, Usman
Published: (2026)
by: Naseem, Usman
Published: (2026)
Soft Inductive Bias Approach via Explicit Reasoning Perspectives in Inappropriate Utterance Detection Using Large Language Models
by: Kim, Ju-Young, et al.
Published: (2025)
by: Kim, Ju-Young, et al.
Published: (2025)
Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models
by: Gu, Qingqing, et al.
Published: (2025)
by: Gu, Qingqing, et al.
Published: (2025)
DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
by: Wang, Xu, et al.
Published: (2026)
by: Wang, Xu, et al.
Published: (2026)
MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
by: Khadka, Barsat
Published: (2026)
by: Khadka, Barsat
Published: (2026)
CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
by: Shim, Jung-Woo, et al.
Published: (2025)
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)
by: Shim, Jung-Woo, et al.
Published: (2025)
Towards Fully-Automated Materials Discovery via Large-Scale Synthesis Dataset and Expert-Level LLM-as-a-Judge
by: Kim, Heegyu, et al.
Published: (2025)
by: Kim, Heegyu, et al.
Published: (2025)
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
by: Men, Tianyi, et al.
Published: (2024)
by: Men, Tianyi, et al.
Published: (2024)
Similar Items
-
LLMs for Enhanced Agricultural Meteorological Recommendations
by: Park, Ji-jun, et al.
Published: (2024) -
Harnessing Generative LLMs for Enhanced Financial Event Entity Extraction Performance
by: Choi, Soo-joon, et al.
Published: (2025) -
Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives
by: Park, Ji-jun, et al.
Published: (2024) -
ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
by: Han, Seungmin, et al.
Published: (2025) -
Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models
by: Hakimi, Ahmad Dawar, et al.
Published: (2025)