Structured distillation reduces personalized agent memory tokens by 11x while preserving retrieval capabilities.

Sydney Lewis

Significantly reduces manipulator end-effector deviation under cyberattacks using a novel active defense method.

Gabriele Gualandi, Alessandro V. Papadopoulos

Through resource-centric route fragmentation, improve multi-robot path planning efficiency in agricultural environments, achieving 95% task throughput.

James R. Heselden, Gautham P. Das

Long-form RewardBench evaluates reward models for long-form generation, revealing current models' deficiencies in long-form reward modeling.

Hui Huang, Yancheng He, Wei Liu et al.

HMS-BERT uses hybrid multi-task self-training for multilingual, multi-label cyberbullying detection, achieving a macro F1-score of 0.9847.

Zixin Feng, Xinying Cui, Yifan Sun et al.

Study the mechanism of diffusion models learning data statistics from simple to complex using the mixed cumulant model.

Lorenzo Bardone, Claudia Merger, Sebastian Goldt

Introduces Hessian Relative Uniform Continuity (HRUC) to simplify distributed mirror descent analysis, covering a broader range of kernels.

Junwen Qiu, Ziyang Zeng, Leilei Mei et al.

NanoVDR distills a 2B vision-language retriever into a 70M text-only encoder for visual document retrieval, retaining 95.1% of teacher quality.

Zhuchenyang Liu, Yao Zhang, Yu Xiao

Proposed EISAM framework significantly boosts tail-item recommendation performance.

Jiaming Zhang, Yuyuan Li, Xiaohua Feng et al.

Proposed an SRAM-based CIM accelerator optimizing linear-decay SNNs, achieving 15.9 to 69 times energy efficiency improvement.

Hongyang Shang, Shuai Dong, Yahan Yang et al.

VecMol generates 3D molecules using vector-field representations, avoiding explicit graph generation and enhancing geometry-chemistry coherence.

Yuchen Hua, Xingang Peng, Jianzhu Ma et al.

AnchorRec prevents positional collapse in multimodal recommender systems using anchored alignment, enhancing recommendation accuracy.

Yonghun Jeong, David Yoon Suk Kang, Yeon-Chang Lee

FGTR achieves fine-grained multi-table retrieval via hierarchical LLM reasoning, improving F_2 by 18% on Spider and 21% on BIRD datasets.

Chaojie Sun, Bin Cao, Tiantian Li et al.

The paper refines and extends the batched kernelized bandits problem, optimizing batch numbers and regret bounds.

Chenkai Ma, Keqin Chen, Jonathan Scarlett

VLM4Rec enhances multimodal recommendation by leveraging large vision-language models for semantic representation.

Ty Valencia, Burak Barlas, Varun Singhal et al.

InterDeepResearch enables human-agent collaborative information seeking through an interactive deep research framework, enhancing process observability and real-time steerability.

Bo Pan, Lunke Pan, Yitao Zhou et al.

Introduces Alternating Gradient Flow (AGF) to prevent structural collapse under 75% compression on ImageNet-1K.

Tianhao Qian, Zhuoxuan Li, Jinde Cao et al.

Study reveals three phases in fully-connected neural networks through dropout pruning: eumentia, dementia, and amentia.

Haining Pan, Nakul Aggarwal, J. H. Pixley

EVATok achieves efficient visual autoregressive generation with adaptive video tokenization, saving 24.4% tokens on average.

Tianwei Xiong, Jun Hao Liew, Zilong Huang et al.

MM-CondChain uses VPIR for visually grounded deep compositional reasoning, with top model achieving only 53.33 Path F1.

Haozhan Shen, Shilin Yan, Hongwei Xue et al.