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NeurIPS

머신러닝 · 학회 · 논문 785편 · 연구실 143곳

연도별 논문

전체 · 논문 785편

2026285편

  • A Matched-Budget Audit Framework for Recaptioned Image-Text Supervision Distributions

    Giyeong Oh, Junghun Park, Yuhan Bae, Youngjae Yu

  • A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data

    Jeonghoon Kim, Woojin Chung, Woomin Song, Cheonbok Park, Nako Sung, Jinwoo Shin

  • A Structured LLM Framework for Inorganic Material Synthesis Planning

    Heewoong Noh, Gyoung S. Na, Namkyeong Lee, Chanyoung Park

  • A Systematic Evaluation of Co-folding Model Representations for Small-Molecule Learning

    Hyosoon Jang, Hyunjin Seo, Honghui Kim, Taewon Kim, Yunhui Jang, Seonghyun Park, Sungsoo Ahn

  • 노승문Yonsei

    A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse

    Moongyu Jeon, Sangwoo Shin, Bumjun Kim, Kyelim Lee, Albert No

  • Accelerated Image Editing via Consistency-Aware Source Token Pruning

    Jeongsol Kim, Jong Chul Ye, Yufei Wang, Jian Wang

  • Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models

    Taesung Kwon, Jonghyun Park, Hyungjin Chung, Jong Chul Ye

  • Action Chunking Proximal Policy Optimization with Feedback Correction

    Sanghyun Hahn, Jonghyun Choi

  • AdaptFlow: State-achored modulation with flow matching for offline goal-conditioned RL

    Jaesuk Joo, and Insoon Yang

  • Addressing exogeneous variability in cooperative multi-agent reinforcement learning

    Seongmin Kim, Woohyeon Byeon, Jiwon Jeon, Seungyul Han, and Youngchul Sung

  • Advancing Entropy-Level Credit Assignment in RLVR via Proximal Entropy Policy Optimization

    Yun Kim, Nojun Kwak

  • AEGIS: Almost Surely Safe Offline Reinforcement Learning

    Junseo Lee, Hyeokjin Kwon, and Songhwai Oh

  • AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL

    Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee

  • 이종민Yonsei

    AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL

    Woosung Kim, Youngjun Suh, Jinho Lee, Jongmin Lee, Byung-Jun Lee

  • Agent Explorative Policy Optimization for Multimodal Agentic Reasoning

    Minki Kang, Shizhe Diao, Ryo Hachiuma, Sung Ju Hwang, Pavlo Molchanov, Yu-Chiang Frank Wang, Byung-Kwan Lee

  • AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems

    Jaewon Chu, Jinwoo Seo, Jaewon Cho, Jeehye Na, Yunyang Xiong, Youngdae Kim, Hyunwoo J. Kim

  • AGiR: Mitigating gift over-reliance in mixed motive games

    Woohyeon Byeon, Seongmin Kim, Jiwon Jeon, Woojun Kim, and Youngchul Sung

  • Aligning Few-Step Generative Model via Amortizing Sample-Based Variational Inference

    Jaewoo Lee, Hyeongyu Kang, Dohyun Kim, Kyuil Sim, Woocheol Shin, Minsu Kim, Taeyoung Yun, Jeongjae Lee, Sanghyeok Choi, Tabitha Edith Lee, Jong Chul Ye, Jinkyoo Park

  • AMUSE: Anytime Muon with Stable Gradient Evaluation

    Jueun Kim, Baekrok Shin, Jihun Yun, Beomhan Baek, Minhak Song, Chulhee Yun

  • Analyzing Learning-Dynamics Across Loss and Prediction Choices for Diffusion Models

    Dongwoo Kim

  • Ask KG Agent: A Multi-Agent Framework for Code Localization Using Code and Knowledge Graphs

    C. Chung, J. Kim, and J. J. Whang*

  • Atom-level Protein Representation Learning Improves Protein Structure Prediction

    Taewon Kim, Hyosoon Jang, Hyunjin Seo, Seonghwan Seo, Hyeongwoo Kim, Wonho Zhung, Mingyeong Shin, Woo Youn Kim, Sungsoo Ahn

  • AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction

    Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seungsu Kim, Sungsoo Ahn

  • AtomMOF: All-Atom Flow Matching for MOF-Adsorbate Structure Prediction

    Nayoung Kim, Honghui Kim, Sihyun Yu, Minkyu Kim, Seongsu Kim, Sungsoo Ahn

  • Attention Sinks as Spectral Spikes: A Mechanism Analysis of Gated Attention

    Seojin Kim, Yehjin Shin, and Noseong Park

  • 김재형Yonsei

    Auditing the Judge: Human-Grounded Bias Discovery, Quantification, and Mitigation in LLM Judges

    Hamin Koo, Chanjoo Jung, Fangzhao Wu, Jaehyung Kim

  • AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

    Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

  • 한욱신POSTECH

    AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

    Park, S., Kim, W., Tan, R., Zhang, J., Han, W., Gao, P., Park, C., Lin, Q., Rajmohan, S., Zhang, D.

  • BabyTheorist: A Benchmark for Learning to Theorize the World from Observation Alone

    Doojin Baek, Junyeob Baek, Mingyu Jo, Hosung Lee, Taegu Kang, Gyubin Lee, Sungjin Ahn

  • BASTION: Budget-Aware Speculative Decoding with Tree-structured Block Diffusion Drafting

    Soowon Oh, Nam Cao, Yujin Kim, Hojung Jung, Huzama Ahmad, Sangmin Bae^, Se-Young Yun^

  • Before It Fades: Reinforcing Temporal Representations at Inference Time in VideoLLMs

    Youngwoo Shin, Yusung Ro, Minseo Kim, and Junmo Kim

  • Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub

    Eunsu Kim*, Haneul Yoo*, Guijin Son, Hitesh Patel, Amit Agarwal, Alice Oh

  • Best-of-$N$ Guidance for Test-time Diffusion Alignment

    Richard Lee Kim, Yeongmin Kim, Gyuwon Sim, Taekyu Kim, Minsang Park, and Il-Chul Moon

  • Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching

    Junwan Kim, Jiho Park, Seonghu Jeon, Seungryong Kim

  • Beyond Average Flatness: Domain-wise Flatness for Domain Generalization

    S. Choi and H. Kim

  • 손지용Yonsei

    Beyond Uniform Detection: Adaptive Hallucination Detection for RAG Across Response Regimes

    J. Park, S. Ryu, J. Sohn, J. Moon

  • Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG

    Dong-Hee Kim, Seonwoo Choi, Changbeen Kim, Jungmyung Wi, Juyeon Ko, Youngju Choi, Il Hyeon Mun, Hyunwoo J. Kim, Donghyun Kim

  • Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG

    Dong-Hee Kim, Seonwoo Choi, Changbeen Kim, Jungmyung Wi, Juyeon Ko, Youngju Choi, Il Hyeon Mun, Hyunwoo J. Kim, Donghyun Kim

  • Bilinear Matching Bandits

    Wooseong Cho, Min-hwan Oh

  • Block Optimism for Nonstationary Bandits with Latent Linear Dynamics

    Taehyun Hwang, Hyunjun Choi, Heesang Ann, Min-hwan Oh