Academic

Academic · 1 min

Graph of States: Solving Abductive Tasks with Large Language Models

arXiv:2603.21250v1 Announce Type: new Abstract: Logical reasoning encompasses deduction, induction, and abduction. However, while Large Language Models (LLMs) have effectively mastered the former two, abductive …

Yu Luo, Rongchen Gao, Lu Teng, Xidao Wen, Jiamin Jiang, Qingliang Zhang, Yongqian Sun, Shenglin Zhang, Jiasong Feng, Tong Liu, Wenjie Zhang, Dan Pei

5 views Mar 24

Academic · 1 min

ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models

arXiv:2603.21237v1 Announce Type: new Abstract: Large language models (LLMs) deliver impressive capabilities but incur substantial inference latency and cost, which hinders their deployment in latency-sensitive …

Haoyu Qiao, Hao Zhang, Shanwen Mao, Siyao Cheng, Jie Liu

8 views Mar 24

Academic · 1 min

Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays

arXiv:2603.21228v1 Announce Type: new Abstract: While AI-assisted writing has been widely reported to improve essay quality, its impact on the structural diversity of student thinking …

Keito Inoshita, Michiaki Omura, Tsukasa Yamanaka, Go Maeda, Kentaro Tsuji

8 views Mar 24

Academic · 1 min

Revisiting Tree Search for LLMs: Gumbel and Sequential Halving for Budget-Scalable Reasoning

arXiv:2603.21162v1 Announce Type: new Abstract: Neural tree search is a powerful decision-making algorithm widely used in complex domains such as game playing and model-based reinforcement …

Leonid Ugadiarov, Yuri Kuratov, Aleksandr Panov, Alexey Skrynnik

9 views Mar 24

Academic · 1 min

Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs

arXiv:2603.21155v1 Announce Type: new Abstract: Text-attributed graphs (TAGs) enhance graph learning by integrating rich textual semantics and topological context for each node. While boosting expressiveness, …

Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang

10 views Mar 24

Academic · 1 min

ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation

arXiv:2603.21140v1 Announce Type: new Abstract: Training large language models (LLMs) with synthetic reasoning data has become a popular approach to enhancing their reasoning capabilities, while …

Zhuojie Yang, Wentao Wan, Keze Wang

8 views Mar 24

Academic · 1 min

KLDrive: Fine-Grained 3D Scene Reasoning for Autonomous Driving based on Knowledge Graph

arXiv:2603.21029v1 Announce Type: new Abstract: Autonomous driving requires reliable reasoning over fine-grained 3D scene facts. Fine-grained question answering over multi-modal driving observations provides a natural …

Ye Tian, Jingyi Zhang, Zihao Wang, Xiaoyuan Ren, Xiaofan Yu, Onat Gungor, Tajana Rosing

9 views Mar 24

Academic · 1 min

Knowledge Boundary Discovery for Large Language Models

arXiv:2603.21022v1 Announce Type: new Abstract: We propose Knowledge Boundary Discovery (KBD), a reinforcement learning based framework to explore the knowledge boundaries of the Large Language …

Ziquan Wang, Zhongqi Lu

10 views Mar 24

Academic · 1 min

A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robot

arXiv:2603.21013v1 Announce Type: new Abstract: Despite recent advances in integrating Large Language Models (LLMs) into social robotics, two weaknesses persist. First, existing implementations on platforms …

Erich Studerus, Vivienne Jia Zhong, Stephan Vonschallen

27 views Mar 24

Academic · 1 min

The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

arXiv:2603.20994v1 Announce Type: new Abstract: In shared autonomy, a critical tension arises when an automated assistant must choose between obeying a human's instruction and deliberately …

Benedikt Hornig, Reuth Mirsky

15 views Mar 24

Academic · 1 min

Can we automatize scientific discovery in the cognitive sciences?

arXiv:2603.20988v1 Announce Type: new Abstract: The cognitive sciences aim to understand intelligence by formalizing underlying operations as computational models. Traditionally, this follows a cycle of …

Akshay K. Jagadish, Milena Rmus, Kristin Witte, Marvin Mathony, Marcel Binz, Eric Schulz

21 views Mar 24

Academic · 1 min

AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation

arXiv:2603.20986v1 Announce Type: new Abstract: Multiphysics simulation frameworks such as MOOSE provide rigorous engines for phase-field materials modeling, yet adoption is constrained by the expertise …

Sukriti Manna, Henry Chan, Subramanian K. R. S. Sankaranarayanan

7 views Mar 24

Graph of States: Solving Abductive Tasks with Large Language Models

ConsRoute:Consistency-Aware Adaptive Query Routing for Cloud-Edge-Device Large Language Models

Does AI Homogenize Student Thinking? A Multi-Dimensional Analysis of Structural Convergence in AI-Augmented Essays

Revisiting Tree Search for LLMs: Gumbel and Sequential Halving for Budget-Scalable Reasoning

Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs

ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation

KLDrive: Fine-Grained 3D Scene Reasoning for Autonomous Driving based on Knowledge Graph

Knowledge Boundary Discovery for Large Language Models

A Framework for Low-Latency, LLM-driven Multimodal Interaction on the Pepper Robot

The Intelligent Disobedience Game: Formulating Disobedience in Stackelberg Games and Markov Decision Processes

Can we automatize scientific discovery in the cognitive sciences?

AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation

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