Academic

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Academic · 1 min

Beyond Message Passing: Toward Semantically Aligned Agent Communication

arXiv:2604.02369v1 Announce Type: cross Abstract: Agent communication protocols are becoming critical infrastructure for large language model (LLM) systems that must use tools, coordinate with other …

Dun Yuan, Fuyuan Lyu, Ye Yuan, Weixu Zhang, Bowei He, Jiayi Geng, Linfeng Du, Zipeng Sun, Yankai Chen, Changjiang Han, Jikun Kang, Alex Chen, Haolun Wu, Xue Liu

52 views Apr 6

Academic · 1 min

Student-in-the-Loop Chain-of-Thought Distillation via Generation-Time Selection

arXiv:2604.02819v1 Announce Type: new Abstract: Large reasoning models achieve strong performance on complex tasks through long chain-of-thought (CoT) trajectories, but directly transferring such reasoning processes …

Chaoqun He, Yingfa Chen, Chaojun Xiao, Xu Han, Lijie Wen

55 views Apr 6

Academic · 1 min

R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning

arXiv:2604.03004v1 Announce Type: new Abstract: While deep reasoning with long chain-of-thought has dramatically improved large language models in verifiable domains like mathematics, its effectiveness for …

Wanlong Liu, Bo Zhang, Chenliang Li, Shaopeng Lai, Yuning Wu, Xuanyu Lei, Ming Yan

25 views Apr 6

Academic · 1 min

Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability

arXiv:2604.02653v1 Announce Type: new Abstract: Empirically, modern deep learning training often occurs at the Edge of Stability (EoS), where the sharpness of the loss exceeds …

Eric Gan

65 views Apr 6

Academic · 1 min

An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages

arXiv:2604.02596v1 Announce Type: new Abstract: In-context learning (ICL) allows large language models (LLMs) to adapt to new tasks from a few examples, making it promising …

Yinhan Lu, Gaganpreet Jhajj, Chen Zhang, Anietie Andy, David Ifeoluwa Adelani

28 views Apr 6

Academic · 1 min

Social Meaning in Large Language Models: Structure, Magnitude, and Pragmatic Prompting

arXiv:2604.02512v1 Announce Type: new Abstract: Large language models (LLMs) increasingly exhibit human-like patterns of pragmatic and social reasoning. This paper addresses two related questions: do …

Roland M\"uhlenbernd

32 views Apr 6

Academic · 1 min

Generating Counterfactual Patient Timelines from Real-World Data

arXiv:2604.02337v1 Announce Type: new Abstract: Counterfactual simulation - exploring hypothetical consequences under alternative clinical scenarios - holds promise for transformative applications such as personalized medicine …

Yu Akagi, Tomohisa Seki, Toru Takiguchi, Hiromasa Ito, Yoshimasa Kawazoe, Kazuhiko Ohe

65 views Apr 6

Academic · 1 min

A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Advanced Thermal-Hydraulic System …

arXiv:2604.02663v1 Announce Type: new Abstract: Severe accident analysis using system-level codes such as MELCOR is indispensable for nuclear safety assessment, yet the computational cost of …

Jeesuk Shin, Donggyun Seo, Sihyeong Yu, Joongoo Jeon

81 views Apr 6

Academic · 1 min

Do Audio-Visual Large Language Models Really See and Hear?

arXiv:2604.02605v1 Announce Type: new Abstract: Audio-Visual Large Language Models (AVLLMs) are emerging as unified interfaces to multimodal perception. We present the first mechanistic interpretability study …

Ramaneswaran Selvakumar, Kaousheik Jayakumar, S Sakshi, Sreyan Ghosh, Ruohan Gao, Dinesh Manocha

31 views Apr 6

Academic · 1 min

Analysis of Optimality of Large Language Models on Planning Problems

arXiv:2604.02910v1 Announce Type: new Abstract: Classic AI planning problems have been revisited in the Large Language Model (LLM) era, with a focus of recent benchmarks …

Bernd Bohnet, Michael C. Mozer, Kevin Swersky, Wil Cunningham, Aaron Parisi, Kathleen Kenealy, Noah Fiedel

26 views Apr 6

Academic · 1 min

Revealing the Learning Dynamics of Long-Context Continual Pre-training

arXiv:2604.02650v1 Announce Type: new Abstract: Existing studies on Long-Context Continual Pre-training (LCCP) mainly focus on small-scale models and limited data regimes (tens of billions of …

Yupu Liang, Shuang Chen, Guanwei Zhang, Shaolei Wang, Suncong Zheng

66 views Apr 6

Academic · 1 min

Conditional Sampling via Wasserstein Autoencoders and Triangular Transport

arXiv:2604.02644v1 Announce Type: new Abstract: We present Conditional Wasserstein Autoencoders (CWAEs), a framework for conditional simulation that exploits low-dimensional structure in both the conditioned and …

Mohammad Al-Jarrah, Michele Martino, Marcus Yim, Bamdad Hosseini, Amirhossein Taghvaei

59 views Apr 6

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Academic

Beyond Message Passing: Toward Semantically Aligned Agent Communication

Student-in-the-Loop Chain-of-Thought Distillation via Generation-Time Selection

R2-Write: Reflection and Revision for Open-Ended Writing with Deep Reasoning

Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability

An Empirical Study of Many-Shot In-Context Learning for Machine Translation of Low-Resource Languages

Social Meaning in Large Language Models: Structure, Magnitude, and Pragmatic Prompting

Generating Counterfactual Patient Timelines from Real-World Data

A Numerical Method for Coupling Parameterized Physics-Informed Neural Networks and FDM for Advanced Thermal-Hydraulic System …

Do Audio-Visual Large Language Models Really See and Hear?

Analysis of Optimality of Large Language Models on Planning Problems

Revealing the Learning Dynamics of Long-Context Continual Pre-training

Conditional Sampling via Wasserstein Autoencoders and Triangular Transport

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