Academic

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Academic · 1 min

DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage

arXiv:2603.01106v1 Announce Type: new Abstract: Reinforcement learning (RL) with group relative policy optimization (GRPO) has become a widely adopted approach for enhancing the reasoning capabilities …

Haowen Gao, Zhenyu Zhang, Liang Pang, Fangda Guo, Hongjian Dou, Guannan Lv, Shaoguo Liu, Tingting Gao, Huawei Shen, Xueqi Cheng

17 views Mar 7

Academic · 1 min

HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis

arXiv:2603.01121v1 Announce Type: new Abstract: While deep learning-based weather forecasting paradigms have made significant strides, addressing extreme weather diagnostics remains a formidable challenge. This gap …

Shuo Tang, Jiadong Zhang, Jian Xu, Gengxian Zhou, Qizhao Jin, Qinxuan Wang, Yi Hu, Ning Hu, Hongchang Ren, Lingli He, Jiaolan Fu, Jingtao Ding, Shiming Xiang, Chenglin Liu

15 views Mar 7

Academic · 1 min

FCN-LLM: Empower LLM for Brain Functional Connectivity Network Understanding via Graph-level Multi-task Instruction Tuning

arXiv:2603.01135v1 Announce Type: new Abstract: Large Language Models have achieved remarkable success in language understanding and reasoning, and their multimodal extensions enable comprehension of images, …

Xingcan Hu, Wei Wang, Li Xiao

40 views Mar 7

Academic · 1 min

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

arXiv:2603.01145v1 Announce Type: new Abstract: In practical LLM applications, users repeatedly express stable preferences and requirements, such as reducing hallucinations, following institutional writing conventions, or …

Yutao Yang, Junsong Li, Qianjun Pan, Bihao Zhan, Yuxuan Cai, Lin Du, Jie Zhou, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Liang He

47 views Mar 7

Academic · 1 min

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent

arXiv:2603.01152v1 Announce Type: new Abstract: Deep-research agents are capable of executing multi-step web exploration, targeted retrieval, and sophisticated question answering. Despite their powerful capabilities, deep-research …

Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

48 views Mar 7

Academic · 1 min

Semantic XPath: Structured Agentic Memory Access for Conversational AI

arXiv:2603.01160v1 Announce Type: new Abstract: Conversational AI (ConvAI) agents increasingly maintain structured memory to support long-term, task-oriented interactions. In-context memory approaches append the growing history …

Yifan Simon Liu, Ruifan Wu, Liam Gallagher, Jiazhou Liang, Armin Toroghi, Scott Sanner

44 views Mar 7

Academic · 1 min

Incremental LTLf Synthesis

arXiv:2603.01201v1 Announce Type: new Abstract: In this paper, we study incremental LTLf synthesis -- a form of reactive synthesis where the goals are given incrementally …

Giuseppe De Giacomo, Yves Lesp\'erance, Gianmarco Parretti, Fabio Patrizi, Moshe Y. Vardi

16 views Mar 7

Academic · 1 min

How Well Does Agent Development Reflect Real-World Work?

arXiv:2603.01203v1 Announce Type: new Abstract: AI agents are increasingly developed and evaluated on benchmarks relevant to human work, yet it remains unclear how representative these …

Zora Zhiruo Wang, Sanidhya Vijayvargiya, Aspen Chen, Hanmo Zhang, Venu Arvind Arangarajan, Jett Chen, Valerie Chen, Diyi Yang, Daniel Fried, Graham Neubig

31 views Mar 7

Academic · 1 min

Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics

arXiv:2603.01209v1 Announce Type: new Abstract: Tool-augmented LLMs are increasingly deployed as agents that interleave natural-language reasoning with executable Python actions, as in CodeAct-style frameworks. In …

Victor May, Aaditya Salgarkar, Yishan Wang, Diganta Misra, Huu Nguyen

27 views Mar 7

Academic · 1 min

From Global to Local: Learning Context-Aware Graph Representations for Document Classification and Summarization

arXiv:2603.00021v1 Announce Type: new Abstract: This paper proposes a data-driven method to automatically construct graph-based document representations. Building upon the recent work of Bugue\~no and …

Ruangrin Ldallitsakool, Margarita Bugue\~no, Gerard de Melo

18 views Mar 7

Academic · 1 min

Noise reduction in BERT NER models for clinical entity extraction

arXiv:2603.00022v1 Announce Type: new Abstract: Precision is of utmost importance in the realm of clinical entity extraction from clinical notes and reports. Encoder Models fine-tuned …

Kuldeep Jiwani, Yash K Jeengar, Ayush Dhaka

17 views Mar 7

Academic · 1 min

Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Independence in LLMs

arXiv:2603.00024v1 Announce Type: new Abstract: Large Language Models (LLMs) are prone to sycophantic behavior, uncritically conforming to user beliefs. As models increasingly condition responses on …

Sean W. Kelley, Christoph Riedl

29 views Mar 7

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Academic

DIVA-GRPO: Enhancing Multimodal Reasoning through Difficulty-Adaptive Variant Advantage

HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis

FCN-LLM: Empower LLM for Brain Functional Connectivity Network Understanding via Graph-level Multi-task Instruction Tuning

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent

Semantic XPath: Structured Agentic Memory Access for Conversational AI

Incremental LTLf Synthesis

How Well Does Agent Development Reflect Real-World Work?

Agents Learn Their Runtime: Interpreter Persistence as Training-Time Semantics

From Global to Local: Learning Context-Aware Graph Representations for Document Classification and Summarization

Noise reduction in BERT NER models for clinical entity extraction

Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Independence in LLMs

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