AI agents

Tool use, function calling, orchestration and the protocols that let models act rather than only answer.

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arXiv Computation and Language

Oct 27

BehaviorMem: Building and Evaluating User Memory from Real-World E-Commerce Behavior Streams

arXiv:2610.34790v1 Announce Type: new Abstract: User memory helps personalized systems build on their understanding of users over time. In e-commerce, users convey their preferences and needs through...

By Sizhe Wang, Xinghao Fang, Rui Qiu, Zhenjia Ma, Dagui Chen, Kun Kuang, Hongcheng Guo

agents benchmarks

arXiv Computation and Language

Oct 27

Semantic Atoms for Scalable Text Analysis in Data Analytics in the Era of LLM-Based Agents

arXiv:2610.34860v1 Announce Type: new Abstract: Much of the information needed for data analysis is buried in text columns: an analyst may infer customer frustration from complaint text and use it to...

By Jinxiang Xie, Zihao Li, Rui Ding, Bartuer Zhou, Shi Han, Dongmei Zhang

llms agents benchmarks data-engineering

arXiv Computation and Language

Oct 27

Unified Context Evolution for LLM Agents

arXiv:2606.02304v2 Announce Type: replace Abstract: LLM-based agents can solve multi-step interactive tasks by combining reasoning with environment feedback, yet each episode starts from the same fix...

By Zixuan Zhu, Yitong Hu, Yong Dai, Junfeng Fang, Chunyang Jiang, Senkang Hu, Yuzhi Zhao

llms agents benchmarks

arXiv Computer Vision

Oct 27

Nemotron 3.5 Bolt 74B-A9B 24GB: A Hybrid Vision-Language Model for Local AI

arXiv:2610.33039v1 Announce Type: new Abstract: We introduce Nemotron 3.5 Bolt 74B-A9B 24GB, a hybrid Mamba-Transformer vision-language model that optimizes speed and intelligence per GB of memory us...

By Ganesh Ajjanagadde, Chris Alexiuk, Luke Alonso, Kumar Anshuman, Maor Ashkenazi, Nave Assaf, Gorkem Batmaz, Omer Belhasin, Shai Ben Nun, Akhiad Bercovich, Pritam Biswas, Caroline Blanco, Tijmen Blankevoort, Michael Boone, Christopher Borden, Kari Briski, Bryan Catanzaro, Zijia Chen, Aishwarya Chhabra, Hung-Yueh Chiang, Annamalai Chockalingam, Jonathan Cohen, Joey Conway, Olivier Delalleau, Gerardo Delgado Cabrera, Leon Derczynski, Li Ding, Will Efstratis, Michael Elad, Ellie Evans, Wes Feely, Michael Fukuyama, Gaurav Garg, Rishabh Garg, Arvind Gopalakrishnan, Shishir Goyal, Kartik Gulia, Hao Guo, Negar Habibi, Scott Hara, Ehsan Hosseini Asl, Rohit Jena, Udi Karpas, Bilal Kartal, Mayank Kaushik, Manoj Kilaru, Mackenzie Kosseim, Oleksii Kuchaiev, Matthieu Le, Raymond Lee, Jian Leong, Jonathan Li, Sheldon Liang, Mingjie Liu, Eileen Long, Katherine Luna, Chenjie Luo, Mingyuan Ma, Arsh Maknojia, Richard Mazzarese, Jessica Medina, Puhui Meng, Yoav Miron, Pavlo Molchanov, David Mosallanezhad, Chetan Mungekar, Marina Neseem, Oluwatobi Olabiyi, Jason Paul, Bhavesh Pawar, Seth Poulos, Anav Prasad, Meredith Price, Sweta Priyadarshi, Haifeng Qian, Vinay Raman, Kaustubh Rao, Hayley Ross, Matan Rusanovsky, Sudeep Sabnis, Karan Sapra, Micah Schaffer, Schmitty, Alex Settle, Ashton Sharabiani, Haran Kumar Shiv Kumar, Rameshwar Shivbhakta, Guillermo Siman, Barnaby Simkin, Oliver Simons, Andrii Skliar, Padmavathy Subramanian, Yoshi Suhara, Ali Taghibakhshi, Nima Tajbakhsh, Andrew Tao, Roy Uziel, Prasoon Varshney, Jose Vergara, Huy Vu, Mengru Wang, Rochelle Woods, Pinky Xu, Dina Yared, Chenhan Yu, Chaosen Zhang, Jian Zhang, Yiheng Zhang, Ran Zilberstein

llms agents efficiency multimodal benchmarks data-engineering

arXiv Computer Vision

Oct 27

Real Time Motion Detection in Video Inspired by Photonic Time Stretch

arXiv:2610.33351v1 Announce Type: new Abstract: Motion perception is fundamental to computer vision and physical AI, and plays a central role in robotics, autonomous vehicles, human-computer interact...

By Callen MacPhee, Yiming Zhou, Bahram Jalali

agents computer-vision robotics

arXiv Computer Vision

Oct 27

FreqPKC: Frequency-Aware PeakConv for Radar Semantic Segmentation

arXiv:2610.33504v1 Announce Type: new Abstract: Automotive millimeter-wave (mmWave) radar has attracted increasing attention for semantic segmentation in autonomous driving, owing to its robustness u...

By Yangyong Deng, Pengyu Zhang, Shaoqiu Song, Xiaotao Huang, Jian Wang

agents computer-vision robotics benchmarks

arXiv Computer Vision

Oct 27

ReSight: Task-Driven Self-Improving Memory for Embodied Agents

arXiv:2610.33487v1 Announce Type: cross Abstract: Robots can use historical observations to answer spatiotemporal queries in familiar environments, but the presence of relevant evidence does not impl...

By Lirong Che, Yang Chen, Yimeng Su, Daqi Liu, Zhenyu Huang, Jiong Wang, Yuzhe Yang, Xu Cao, Chuang Wang, Jian Su, Xueqian Wang

agents robotics efficiency benchmarks

arXiv Computer Vision

Oct 27

Detector Confidence Signals Presence Rather Than Occlusion in Cluttered Manipulation

arXiv:2607.13361v2 Announce Type: replace Abstract: An open-vocabulary detector's confidence that a named object is present barely changes when clutter hides all but an eighth of it, and can even ris...

By Yuanzhi He

agents robotics benchmarks

arXiv Computer Vision

Oct 27

IndustryNav: Evaluating Spatial Reasoning and Safety of Embodied Agents in Dynamic Industrial Navigation

arXiv:2511.17384v3 Announce Type: replace-cross Abstract: Visual large language models (VLLMs) are increasingly used as embodied agents, yet industrial warehouses demand more than reaching a goal: ag...

By Yifan Li, Lichi Li, Anh Dao, Xinyu Zhou, Wenjun Huang, Tianyi Ma, Yicheng Qiao, Zheda Mai, Daeun Lee, Zichen Chen, Pan Wang, Lehan Yang, Tianlong Wang, Zhen Tan, Sheng Li, Mohit Bansal, Yang Ni, Yu Kong

llms agents robotics safety

arXiv AI

Oct 27

CoEvolve: Counterfactual-Guided Co-Evolution of Memory and Collaboration in Multi-Agent Systems

arXiv:2610.33539v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems have demonstrated remarkable capabilities across diverse tasks. Yet their memory and collaboration...

By Xufei Shi, Derong Xu, Wei Chen, Yanyu Yao, Zhi Zheng, Tong Xu

llms agents benchmarks

arXiv AI

Oct 27

AlphaIdeaBench: Benchmarking Automated Research Idea Generation under Feasibility Constraints with Peer Review Alignment

arXiv:2610.33644v1 Announce Type: new Abstract: Research ideas are always proposed under resource constraints: a plan must fit the available compute, API credit, and time. Yet evaluations of research...

By Shunchao Zhou, Chang Yang, Jingrui Wang, Shuxin Zhuang, Rundong Wang, Runsheng Yu, Xinrun Wang

llms agents benchmarks safety

arXiv AI

Oct 27

PACE: Research Proving Agent for Adaptive Conjecture Exploration

arXiv:2610.33690v1 Announce Type: new Abstract: Many mathematical research agents focus on solving problems with fixed statements. However, conjecture research, especially in applied mathematics, may...

By Shu Miao, Feiming Wang, Wentao Long, Chenyi Li, Kun Yuan, Zaiwen Wen

agents benchmarks

arXiv AI

Oct 27

Matched Capabilities, Different Behaviors: A Controlled Study of MCP and CLI Interfaces for Language Agents

arXiv:2610.34298v1 Announce Type: new Abstract: Language agents increasingly act through external tools and interactive environments, making the interface between the model and its executable capabil...

By Zhenning Shi, Liang Pang, Yongqi Li

agents benchmarks

arXiv AI

Oct 27

SlowLab: Benchmarking Autonomous AI Agents on a Year of Experiments They Cannot Undo

arXiv:2610.34644v1 Announce Type: new Abstract: AI agents are increasingly proposed as autonomous experimenters, yet the benchmarks that test them mostly offer cheap experiments that answer at once....

By Ningpei Ding, Zai Wen Feng

agents benchmarks

arXiv AI

Oct 27

Intervene, Calibrate, Discover: Learning Causal Structure from Pixels

arXiv:2610.34711v1 Announce Type: new Abstract: Learning high-level causal variables from low-level observations is a central problem for artificial intelligence. With known node semantics but an unk...

By Ziyi Ding, Xiaodi Huang, Xianxin Lai, Haijier Chen, Zhang Zhang, Xiao-Ping Zhang, Jiayu Chen

agents

arXiv AI

Oct 27

ClinVerse: A Realistic Multi-Agent Diagnostic Environment for Training and Evaluating Medical Agents

arXiv:2610.34878v1 Announce Type: new Abstract: Disease diagnosis is a key application of large language model (LLM) agents in healthcare. However, existing medical agents are primarily trained and e...

By Sirry Chen, Fangke Chen, Xuanwen Ding, Wei Chen, Zhongyu Wei

llms agents

arXiv AI

Oct 27

Proof-of-Agentness: Towards Verifying Agents on the Web

arXiv:2610.35288v1 Announce Type: new Abstract: CAPTCHAs and bot detection have helped protect Web services from automated abuse for decades by distinguishing humans from bots. However, the emergence...

By Zuyao Xu, Xiang Li

llms agents

arXiv AI

Oct 27

Beyond Federated Learning: Decentralized Agentic Systems for Self-Evolving Clinical Intelligence

arXiv:2610.35453v1 Announce Type: new Abstract: Clinical expertise is inherently distributed: it resides not in any single dataset or institution but in the accumulated reasoning experiences of thous...

By Haoyuan Li, Mathias Funk, Aaqib Saeed

llms agents

arXiv AI

Oct 27

Evolve on Graph: Self-Evolving Knowledge Graph Reasoning without Question Annotations

arXiv:2610.35598v1 Announce Type: new Abstract: Knowledge graphs (KGs) provide reliable external knowledge for multi-hop factual reasoning with large language models (LLMs), yet most KGs in real-worl...

By Zongyuan Sun, Shuai Zhao, Ke Shu, Ziyue Zhu, Shangyang Wu, Yuanlin Lin, Tao Wang, Shiyue Li, Yingjun Du, Anh Tuan Luu, Haoran Luo

llms agents reinforcement-learning benchmarks

arXiv AI

Oct 27

SLICE-Mem: Salience-Gated Lightweight Information Curation for Efficient LLM Agent Memory

arXiv:2610.33015v1 Announce Type: cross Abstract: Long-term memory enables large language model (LLM) agents to maintain personalized and temporally coherent interactions, but repeated LLM inference...

By Xiaobin Chen, Dian Jin, Lin Shu, Defeng Sun, Xiaoming Tao

llms agents benchmarks

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