The Matching Principle unifies nuisance-robust learning by estimating deployment nuisance covariance and regularizing encoder Jacobian accordingly; validated on 7B-parameter Qwen2.5-7B.

Vishal Rajput

Proposes KDE-gradient conservative drifting with finite-particle convergence rates up to N^{-(2-β)/(2(d+4-β))}

Krishnakumar Balasubramanian

MOSS enables source-level self-rewriting in autonomous agents, boosting OpenClaw’s four-task mean grader score from 0.25 to 0.61 in one cycle.

Qianshu Cai, Yonggang Zhang, Xianzhang Jia et al.

LCGuard uses adversarially learned transformations on Transformer KV caches to reduce sensitive information reconstruction in multi-agent systems while preserving task performance.

Sadia Asif, Mohammad Mohammadi Amiri, Momin Abbas et al.

Evaluated six commercial AI chatbots on 2,100 BBC news questions across six languages, achieving up to 95.6% accuracy on emerging facts.

Mirac Suzgun, Emily Shen, Federico Bianchi et al.

DeltaBox achieves millisecond-level incremental checkpoint/rollback for AI agents via DeltaFS and DeltaCR; 14ms checkpoint and 5ms rollback on SWE-bench.

Yunpeng Dong, Jingkai He, Yuze Hou et al.

DecQ introduces detail-condensing queries to RAEs, boosting reconstruction PSNR to 22.76dB and reducing generation FID to 1.41 with only 3.9% extra computation.

Tianhang Wang, Yitong Chen, Wei Song et al.

6B-parameter LLMs pretrained sequentially on Common Crawl show 15% F1 improvement on KairosQA for temporal knowledge over shuffled baselines.

Pilchen Hippolyte, Fabre Romain, Signe Talla Franck et al.

StructuredSemanticSearch improves model discovery via structured table retrieval, boosting nugget coverage on 597 queries

Zhengyuan Dong, Renée J. Miller

League-based multi-agent RL achieves 22 m/s quadrotor racing with 50% collision reduction vs. single-agent baselines.

Ismail Geles, Leonard Bauersfeld, Markus Wulfmeier et al.

WorldKV enables efficient world memory via KV cache retrieval and compression, doubling throughput while maintaining revisit fidelity.

Jung Yi, Minjae Kim, Paul Hyunbin Cho et al.

AnyMo proposes geometry-aware setup-agnostic human motion modeling, achieving 11.7% zero-shot recognition and 28.6% cross-modal retrieval MRR improvements.

Baiyu Chen, Zechen Li, Wilson Wongso et al.

TriSweep: a four-drone swarm framework achieves key rank 18±1.7 at 0.25m for masked AES-128 EM side-channel analysis.

Eric Yocam, Varghese Vaidyan

Proposed Branch-Stochastic MPC with scenario clustering improves safety and real-time performance in multi-modal uncertainty motion planning.

Zekun Xing, Ramkrishna Chaudhari, Marion Leibold et al.

Proposed Quantum Genetic Negative Selection Algorithm (QGNSA) achieves superior anomaly detection accuracy on Metaverse Financial Transactions Dataset.

Giancarlo P. Gamberi, Calebe P. Bianchini

CUActSpot benchmark enhances GUI complex interaction performance via data synthesis and multimodal evaluation; Phi-Ground-Any-4B excels.

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan et al.

SenseNova-U1 unifies multimodal understanding and generation via NEO-unify architecture, enhancing vision-language model performance.

Haiwen Diao, Penghao Wu, Hanming Deng et al.

CausalCine achieves real-time multi-shot video generation using a causal autoregressive framework, significantly enhancing cross-shot coherence and interactivity.

Yihao Meng, Zichen Liu, Hao Ouyang et al.

AlphaGRPO enhances UMMs' multimodal generation via Decompositional Verifiable Reward, significantly improving benchmarks like GenEval.

Runhui Huang, Jie Wu, Rui Yang et al.

Pion optimizer preserves spectrum via orthogonal equivalence transformation, enhancing LLM training stability.

Kexuan Shi, Hanxuan Li, Zeju Qiu et al.