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.

Proposes Spoken Function Calling (SFC), leveraging structured rules to enhance large audio language models' semantic understanding beyond traditional closed-set SLU.

Yuezhang Peng, Yuxin Liu, Changfeng Gao et al.

Introduces LLM-guided symbolic regression (SR) framework for automated kinetic model discovery, reducing iteration count by up to 79.3%.

Roberto Aliaga Medina, Paulina Quintanilla, Antonio del Rio Chanona

Single-shot structured light depth reconstruction using VQ-VAE and U-Net achieves 3.70mm MAE at 26Hz, enabling real-time laparoscopic guidance.

Wayne Wonseok Rodgers, Xiangyi Le, Seonghoon Jang et al.

This paper applies multidimensional Item Response Theory (IRT) to analyze 192 language models across 8 safety benchmarks, revealing three core latent abilities and enabling cost-effective evaluation and auditing.

Joshua Fonseca Rivera, Neil Shah, David Demitri Africa et al.

BridgeVLA++ integrates multi-view projection, explicit spatio-temporal memory, and pre-trained VLMs for efficient, robust 3D robot manipulation.

Peiyan Li, Yuze Zhu, Yixiang Chen et al.