3 citations · 8 across the 41 of their papers we have counts for
7 papers · 2 filters
SelfSearch: Reward-Free Search for Self-Improving Agents
Jungwoo Yang, Injin Kong, In Jin Kong +1
Advances in the coding capabilities of LLM agents allow them to inspect and modify their own instructions, tools, and execution procedures. Existing approaches use this ability to…
Unmask the State: When Does State Adaptation Matter for Masked Diffusion Language Models
Injin Kong, Sunghwan Choi, Yohan Jo
Masked diffusion language models (MDMs) admit flexible generation orders, making the unmasking strategy an inference decision. Existing methods vary in how they prioritize position…
AgentHabit: Characterizing Distinct Behaviors of Agents on Everyday Tasks
Woojung Song, Hoyeol Yang, Jeonghoon Shim +4
Large language model (LLM) agents assist users with everyday tasks that can be completed in many reasonable ways. Even when their answers are useful, how agents carry out these tas…
ProTTT: Learning to Learn Semantic User Memory with Test-Time Training
Sejun Park, Hyoungjo Bhang, Hyein Jeong +1
Personalization requires language models to capture user-specific knowledge from a growing user history. Existing context-based approaches incur increasing inference costs as user…
Agents' Overreliance on Unreliable Tools
Hoyeol Yang, Woojung Song, Taewon Kim +3
LLM agents use tools to access information and perform computations beyond their parametric knowledge. Existing tool-use benchmarks evaluate whether agents select and call the righ…
SHAPE of Thinking: Mathematical Heuristics for Analyzing and Improving LLM Reasoning
Jonghyun Song, Sangjun Song, Minjae Oh +3
Large language models (LLMs) achieve strong performance on mathematical reasoning benchmarks, yet final-answer accuracy reveals little about the strategies they use. We introduce \…
Think Like a Doctor: Conversational Diagnosis through the Exploration of Diagnostic Knowledge Graphs
Jeongmoon Won, Seungwon Kook, Yohan Jo
Conversational diagnosis requires multi-turn history-taking, where an agent asks clarifying questions to refine differential diagnoses under incomplete information. Existing approa…