Academic

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Academic · 1 min

Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction

arXiv:2604.05477v1 Announce Type: new Abstract: Autonomous GUI agents based on vision-language models (VLMs) often assume deterministic environment responses, generating actions without verifying whether previous operations …

Yuzhe Zhang, Xianwei Xue, Xingyong Wu, Mengke Chen, Chen Liu, Xinran He, Run Shao, Feiran Liu, Huanmin Xu, Qiutong Pan, Haiwei Wang

28 views Apr 8

Academic · 1 min

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

arXiv:2604.05091v1 Announce Type: new Abstract: We present MegaTrain, a memory-centric system that efficiently trains 100B+ parameter large language models at full precision on a single …

Zhengqing Yuan, Hanchi Sun, Lichao Sun, Yanfang Ye

34 views Apr 8

Academic · 1 min

Confidence Should Be Calibrated More Than One Turn Deep

arXiv:2604.05397v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly applied in high-stakes domains such as finance, healthcare, and education, where reliable multi-turn interactions …

Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, Chao Shen, Ziquan Liu, Ioannis Patras

45 views Apr 8

Academic · 1 min

EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks

arXiv:2604.05254v1 Announce Type: new Abstract: Modern logistics networks generate rich operational data streams at every warehouse node and transportation lane -- from order timestamps and …

Zhiming Xue, Menghao Huo, Yujue Wang

25 views Apr 8

Academic · 1 min

EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents

arXiv:2604.05557v1 Announce Type: new Abstract: Scientific research follows multi-turn, multi-step workflows that require proactively searching the literature, consulting figures and tables, and integrating evidence across …

Xuan Dong, Huanyang Zheng, Tianhao Niu, Zhe Han, Pengzhan Li, Bofei Liu, Zhengyang Liu, Guancheng Li, Qingfu Zhu, Wanxiang Che

57 views Apr 8

Academic · 1 min

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects

arXiv:2604.05546v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) enable sophisticated reasoning over images and videos, yet their inference is hindered by a systemic efficiency …

Jun Zhang, Yicheng Ji, Feiyang Ren, Yihang Li, Bowen Zeng, Zonghao Chen, Ke Chen, Lidan Shou, Gang Chen, Huan Li

28 views Apr 8

Academic · 1 min

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts

arXiv:2604.05242v1 Announce Type: new Abstract: Multi-bit watermarking has emerged as a promising solution for embedding imperceptible binary messages into Large Language Model (LLM)-generated text, enabling …

Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang

39 views Apr 8

Academic · 1 min

DQA: Diagnostic Question Answering for IT Support

arXiv:2604.05350v1 Announce Type: new Abstract: Enterprise IT support interactions are fundamentally diagnostic: effective resolution requires iterative evidence gathering from ambiguous user reports to identify an …

Vishaal Kapoor, Mariam Dundua, Sarthak Ahuja, Neda Kordjazi, Evren Yortucboylu, Vaibhavi Padala, Derek Ho, Jennifer Whitted, Rebecca Steinert

36 views Apr 8

Academic · 1 min

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

arXiv:2604.05358v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) mitigates hallucination but does not eliminate it: a deployed system must still decide, at inference time, whether …

Zhe Yu, Wenpeng Xing, Meng Han

52 views Apr 8

Academic · 1 min

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement …

arXiv:2604.05483v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown a high capability in answering questions on a diverse range of topics. However, these …

Xiaotian Zhou, Di Tang, Xiaofeng Wang, Xiaozhong Liu

30 views Apr 8

Academic · 1 min

Attribution Bias in Large Language Models

arXiv:2604.05224v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it is critical that they accurately …

Eliza Berman, Bella Chang, Daniel B. Neill, Emily Black

27 views Apr 8

Academic · 1 min

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery

arXiv:2604.05550v1 Announce Type: new Abstract: Artificial intelligence research increasingly depends on prolonged cycles of reproduction, debugging, and iterative refinement to achieve State-Of-The-Art (SOTA) performance, creating …

Yu Li, Chenyang Shao, Xinyang Liu, Ruotong Zhao, Peijie Liu, Hongyuan Su, Zhibin Chen, Qinglong Yang, Anjie Xu, Yi Fang, Qingbin Zeng, Tianxing Li, Jingbo Xu, Fengli Xu, Yong Li, Tie-Yan Liu

53 views Apr 8

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Academic

Don't Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Confidence Should Be Calibrated More Than One Turn Deep

EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks

EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents

Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts

DQA: Diagnostic Question Answering for IT Support

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement …

Attribution Bias in Large Language Models

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery

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