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

4 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

4 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

22 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

24 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

23 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

21 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

3 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

5 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

9 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

4 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

3 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

6 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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