DBNs can spontaneously form class-related structures in unsupervised learning.

Patrick Krauss, Achim Schilling, Andreas Maier et al.

AgentOPSD employs recursive Bayesian belief updates for turn-level credit assignment, outperforming baselines with 89.1% success on ALFWorld.

Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao et al.

Robust-WAM enhances WAM's visual robustness via semantic foresight alignment, improving success rates across multiple baselines.

Haodong Yan, Junfeng Li, Junjie He et al.

HiLP method introduces higher-level abstract latents to enhance long-horizon reasoning in language models.

Chang Shi, Tim Pearce, Manan Tomar et al.

Proposes a validity-based AI regulation framework emphasizing inference reliability as a precondition for deployment.

A. Mukundan, Debayan Gupta, Subhashis Banerjee

Proposes TIPEX, combining replica and structural parallelism, achieving up to 57% accuracy and 40% latency reduction in multi-agent LLM inference.

Zihan Xu, Haolin Tian, Hai Jiang

Vorch-Director matches residual corrections to flow-matching noise levels, improving long-horizon audio-visual stability; no numeric scores are provided.

Lisai Zhang, Yidi Wu, Qi Liu et al.

Proposes an iterative hybrid discrete-continuous viewpoint planning method to enhance UAV photogrammetry reconstruction accuracy and completeness.

Alan Grech, Daniel Pisani, Andre Grima et al.

Vorch-Streamer combines mixed Teacher Forcing and Diffusion Forcing with long-horizon Self Forcing, achieving 27.12 FPS real-time long-form audio-video generation.

Menglin Han, Yang Ding, Yulei Lu et al.

Vorch-IR is a unified multimodal video editing framework supporting multi-person identity and background replacement, built on LTX2 with attention mechanisms.

Yaole Wang, Xiaoyu Chen, Xin Ma et al.

LC-GRPO combines inference-aligned ODE with Langevin correction, reducing training-inference gap and improving reward optimization in flow-based RL.

Yingqing Guo, Hui Yuan, Zijian He et al.

Introduced SJRL method, significantly enhancing multi-agent pathfinding performance, especially on high-density maps.

He Jiang, Jingtian Yan, Yulun Zhang et al.

SkillTV-Bench benchmarks trajectory verification, improving accuracy by 14.8 points via automated JudgeSkill evolution.

Zhi Han, Chenxi Zeng, Liuhaichen Yang et al.

EXCISE employs query-side modules to solve exclusion inversion in late-interaction retrieval, boosting exclusion success@10 to 0.691 and Boolean NOT accuracy to 0.92.

Mohammed Ali, Abdelrahman Abdallah, Adam Jatowt

Ontology-based student profiling and content personalization framework utilizing knowledge graphs enhances adaptive learning with 25% higher content matching accuracy.

José Luiz M. Morais, Arlindo F. da Conceição, Cacilda Encarnação Augusto Alvarenga et al.

SCP-NL2TL combines semantic verification and conformal risk control to abstain from unsafe NL-to-temporal-logic translations.

Yixuan Wang, Licheng Luo, Yu Fu et al.

SIEDD model achieves best speech-editing performance on RealEdit benchmark, surpassing autoregressive baselines.

Iftach Shoham, Tali Dror, Oren Gal et al.

Sharding partitions requirements into smaller groups, boosting accuracy and robustness in LLM oversight, outperforming holistic models.

Victor Akinwande, J. Zico Kolter, Aran Nayebi

Proposes CoCo-IR and TIE model, leveraging large multimodal models for multi-turn contextual image retrieval; achieves 39.4 mAP@5 (single-turn) and 44.1 R@1 (4-turn).

Shengcao Cao, Tanmaya Shekhar Dabral, Zhongli Ding et al.

AV-MSF combines multi-view images and few impact recordings to physically reconstruct object impact sounds, outperforming physics-based and data-driven baselines.

Zisen Shao, Zihao Wei, Derong Jin et al.