Analyzes bias in nonlinear two-time-scale stochastic approximation under constant step-sizes, providing upper bounds on mean-squared error.

Djamel Rassem Lamouri, Dorian Baudry, Nicolas Gast

MERIT-Rank enhances text reranking through multi-perspective reasoning space and progressive optimization, with the 4B model outperforming 7B and 32B models on BRIGHT.

Lijun Liu, Zhengzong Chen, Wenyan Li et al.

Introducing neurotransmitter-inspired modulation in ANNs to enhance adaptability and stability.

Yupei Li, Manuel Milling, Berrak Sisman et al.

MSS-Complement method recovers state-conditioned minimal sufficient evidence for coding agents, achieving 73.0% coverage at five items.

Zhexi Feng, Ruiyi Zhang, Yongbo Yang et al.

Study evaluates sequence-likelihood signal in retrieval-dominated QA, finding it insufficient to enhance accuracy.

Gunwoo Lee, Changmin Sung, Sang-Hwan Gwak et al.

Study of self-replicating neural cellular automata reveals phenotype-genotype diversity trade-off.

Sanyam Jain, Felix Simon Reimers, Stefano Nichele

SecTB-RTL framework audits AI-generated RTL verification plans, revealing mismatches in generation and execution rules.

Hang Xiao, Chuhong Xu, Kainan Zhou et al.

Using natural-language user profiles, UPR method improves transparency in recommendations, validated on Amazon and TripAdvisor datasets.

Noah Mamié, Laurin van den Bergh

Dense feature representation and optimization boost CVR prediction AUC to 0.828535.

Yi Zhang, Weiliang Ji

FINSKILLOPS improves SEC filing QA correctness through self-evolving multi-agent system, raising it from 3.70 to 4.55.

Yanzhang Ma, Zhenghan Tai, Hanwei Wu et al.

VideoResearcher enhances long-video understanding via automated tool design, achieving 74.5% accuracy.

Dingqiang Ye, Dongdi Zhao, Kaishen Wang et al.

SELF-INDEX framework autonomously evolves search indices, improving retrieval performance on datasets like BRIGHT.

Sangam Lee, Wonjae Lee, Sunghwan Kim et al.

G3RAG uses geometric gain graphs for zero-token construction, enhancing multi-hop RAG with a 4.26 F1 score increase.

Zeliang Li, Xiaofen Xing, Kailing Guo et al.

Introduces Mahalanobis-Ensemble Decoding to optimize LLM decoding via ensemble pruning, enhancing semantic diversity and generation quality.

Dunyao Xue, Chengshuo Du, Zhengbo Wang et al.

ActiveScale enhances robot active perception through model, data, and hardware design, significantly improving task success rates.

Shuai Zhou, Kaisheng Pang, Wenxuan Song et al.

AALT selects demonstrations to maximize start-goal connectivity, improving task success rate.

Maxwell J. Jacobson, Ahmed H Qureshi, Yexiang Xue

The study examines truncation sampling's impact on large language models' accuracy at high temperatures.

Francesco La Rosa

VAST method enhances accuracy in cold-start semi-supervised learning by geometric inference, outperforming existing baselines.

Itai David, Daphna Weinshall

Physical-State-Guided Diffusion Sampling (PSG) achieves superior geological structure recovery on OpenFWI datasets.

Chen Min, Haowen Jiang, Zheng Ma et al.

MedRoundsQA evaluates medical diagnosis through multi-turn dialogues, with accuracy dropping 13-39 points.

Youssef Mohamed, Ahmed Heakl, Qinrong Cui et al.