:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Kim, Hongbeen, Lee, Juhyun, Lee, Sanghyeon, Choi, Kwanghoon, Huh, Jaehyuk
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.00510
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hardware-based Heterogeneous Memory Management for Large Language Model Inference
by: Hwang, Soojin, et al.
Published: (2025)

Efficient LLM Inference with Activation Checkpointing and Hybrid Caching
by: Lee, Sanghyeon, et al.
Published: (2025)

Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search
by: Ryu, Sangwon, et al.
Published: (2025)

Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction
by: Kwak, Yunhyeok, et al.
Published: (2024)

Parallel Test-Time Scaling with Multi-Sequence Verifiers
by: Kim, Yegon, et al.
Published: (2026)

Adaptive Migration Decision for Multi-Tenant Memory Systems
by: Cho, Hyungjun, et al.
Published: (2025)

Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions
by: Xiao, Junlin, et al.
Published: (2025)

Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
by: Singh, Ankur, et al.
Published: (2024)

Monte Carlo Search Algorithms Discovering Monte Carlo Tree Search Exploration Terms
by: Cazenave, Tristan
Published: (2024)

V-LynX: Token Interface Alignment for Video+X LLMs
by: Park, Jungin, et al.
Published: (2026)

Language-guided Recursive Spatiotemporal Graph Modeling for Video Summarization
by: Park, Jungin, et al.
Published: (2025)

Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
by: Park, Jungin, et al.
Published: (2025)

EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models
by: Lee, Eungbean, et al.
Published: (2024)

DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
by: Kim, Wonyoung, et al.
Published: (2025)

Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning
by: Ko, Dayoon, et al.
Published: (2025)

Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
by: Lee, Sungjae, et al.
Published: (2025)

IPPRO: Importance-based Pruning with PRojective Offset for Magnitude-indifferent Structural Pruning
by: Jung, Jaeheun, et al.
Published: (2025)

Boost Your Human Image Generation Model via Direct Preference Optimization
by: Na, Sanghyeon, et al.
Published: (2024)

ViTA-PAR: Visual and Textual Attribute Alignment with Attribute Prompting for Pedestrian Attribute Recognition
by: Park, Minjeong, et al.
Published: (2025)

Diffusion Language Model Inference with Monte Carlo Tree Search
by: Huang, Zheng, et al.
Published: (2025)

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
by: Hwang, Jaebak, et al.
Published: (2025)

Epistemic Monte Carlo Tree Search
by: Oren, Yaniv, et al.
Published: (2022)

Generalizable Prompt Tuning for Audio-Language Models via Semantic Expansion
by: Jang, Jaehyuk, et al.
Published: (2026)

Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2024)

Optimizing Tensor Computation Graphs with Equality Saturation and Monte Carlo Tree Search
by: Hartmann, Jakob, et al.
Published: (2024)

Adaptive Inference-Time Scaling via Cyclic Diffusion Search
by: Lee, Gyubin, et al.
Published: (2025)

Trust Region Q Adjoint Matching
by: Dong, Yonghoon, et al.
Published: (2026)

Faster Parameter-Efficient Tuning with Token Redundancy Reduction
by: Kim, Kwonyoung, et al.
Published: (2025)

Learning What To Hear: Boosting Sound-Source Association For Robust Audiovisual Instance Segmentation
by: Seo, Jinbae, et al.
Published: (2025)

LLM-Based Test Case Generation in DBMS through Monte Carlo Tree Search
by: Chen, Yujia, et al.
Published: (2026)

Generalized Proof-Number Monte-Carlo Tree Search
by: Kowalski, Jakub, et al.
Published: (2025)

Proof Number Based Monte-Carlo Tree Search
by: Kowalski, Jakub, et al.
Published: (2023)

Array-Based Monte Carlo Tree Search
by: Ragan, James, et al.
Published: (2025)

Lookahead Pathology in Monte-Carlo Tree Search
by: Nguyen, Khoi P. N., et al.
Published: (2022)

Twice Sequential Monte Carlo for Tree Search
by: Oren, Yaniv, et al.
Published: (2025)

Monte Carlo Tree Search with Boltzmann Exploration
by: Painter, Michael, et al.
Published: (2024)

Doubly Robust Monte Carlo Tree Search
by: Liu, Manqing, et al.
Published: (2025)

Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2024)

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
by: Wu, Fang, et al.
Published: (2025)

From Static to Dynamic: Adaptive Monte Carlo Search for Mathematical Process Supervision
by: Ma, Jie, et al.
Published: (2025)