Papers
Research papers from arXiv and related sources
Dataflow-Oriented Classification and Performance Analysis of GPU-Accelerated Homomorphic Encryption
Fully Homomorphic Encryption (FHE) enables secure computation over encrypted data, but its computational cost remains a major obstacle to practical deployment. To mitigate this overhead, many studi...
Ai Nozaki, Takuya Kojima, Hideki Takase, Hiroshi Nakamura
vAccSOL: Efficient and Transparent AI Vision Offloading for Mobile Robots
Mobile robots are increasingly deployed for inspection, patrol, and search-and-rescue operations, relying on computer vision for perception, navigation, and autonomous decision-making. However, exe...
Adam Zahir, Michele Gucciardom Falk Selker, Anastasios Nanos, Kostis Papazafeiropoulos, Carlos J....
A Semantic Timbre Dataset for the Electric Guitar
Understanding and manipulating timbre is central to audio synthesis, yet this remains under-explored in machine learning due to a lack of annotated datasets linking perceptual timbre dimensions to ...
Joseph Cameron, Alan Blackwell
When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making
Embodied robotic systems increasingly rely on large language model (LLM)-based agents to support high-level reasoning, planning, and decision-making during interactions with the environment. Howeve...
Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, ...
Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation
Simulating robot-world interactions is a cornerstone of Embodied AI. Recently, a few works have shown promise in leveraging video generations to transcend the rigid visual/physical constraints of t...
Mutian Xu, Tianbao Zhang, Tianqi Liu, Zhaoxi Chen, Xiaoguang Han, Ziwei Liu
Fast-WAM: Do World Action Models Need Test-time Future Imagination?
World Action Models (WAMs) have emerged as a promising alternative to Vision-Language-Action (VLA) models for embodied control because they explicitly model how visual observations may evolve under...
Tianyuan Yuan, Zibin Dong, Yicheng Liu, Hang Zhao
Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
Large vision-language models (LVLMs) have become increasingly strong but remain prone to hallucinations in multimodal tasks, which significantly narrows their deployment. As training these LVLMs to...
Jiawei Mao, Hardy Chen, Haoqin Tu, Yuhan Wang, Letian Zhang, Zeyu Zheng, Huaxiu Yao, Zirui Wang, ...
When Openclaw Agents Learn from Each Other: Insights from Emergent AI Agent Communities for Human-AI Partnership in Education
The AIED community envisions AI evolving "from tools to teammates," yet our understanding of AI teammates remains limited to dyadic human-AI interactions. We offer a different vantage point: a rapi...
Eason Chen, Ce Guan, Ahmed Elshafiey, Zhonghao Zhao, Joshua Zekeri, Afeez Edeifo Shaibu, Emmanuel...
Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
Large Language Models (LLMs) have achieved strong performance across many downstream tasks, yet their effectiveness in extremely low-resource machine translation remains limited. Standard adaptatio...
Aishwarya Ramasethu, Niyathi Allu, Rohin Garg, Harshwardhan Fartale, Dun Li Chan
Machines acquire scientific taste from institutional traces
Artificial intelligence matches or exceeds human performance on tasks with verifiable answers, from protein folding to Olympiad mathematics. Yet the capacity that most governs scientific advance is...
Ziqin Gong, Ning Li, Huaikang Zhou
A characterization of terminal planar networks by forbidden structures
The class of terminal planar networks was recently introduced from a biological perspective in relation to the visualization of phylogenetic networks, and its connection to upward planar networks h...
Haruki Miyaji, Yuki Noguchi, Hexuan Liu, Takatora Suzuki, Keita Watanabe, Taoyang Wu, Momoko Haya...
Experimental Limit on Neutron Orbital Angular Momentum Detection Using Polarized 3He
A recent proposal suggested that neutron orbital angular momentum (OAM) states could be detected via spin-polarized absorption in polarized 3He, with predicted cross-section variations linked to th...
D. Sarenac, O. Lailey, D. V. Garrad, P. R. Vadnere, N. Shentevski, C. W. Clark, D. G. Cory, J. P....
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models
Reasoning-focused large language models (LLMs) have advanced in many NLP tasks, yet their evaluation remains challenging: final answers alone do not expose the intermediate reasoning steps, making ...
Xiaojie Gu, Sherry T. Tong, Aosong Feng, Sophia Simeng Han, Jinghui Lu, Yingjian Chen, Yusuke Iwa...
What if Pinocchio Were a Reinforcement Learning Agent: A Normative End-to-End Pipeline
In the past decade, artificial intelligence (AI) has developed quickly. With this rapid progression came the need for systems capable of complying with the rules and norms of our society so that th...
Benoît Alcaraz
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai`i
Although generative AI is being deployed into classrooms with promises of aiding teachers, educators caution that these tools can have unintended pedagogical repercussions, including cultural misre...
Dora Zhao, Hannah Cha, Michael J. Ryan, Angelina Wang, Rachel Baker-Ramos Evyn-Bree Helekahi-Kaiw...
Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy
Alignment techniques often inadvertently induce sycophancy in LLMs. While prior studies studied this behaviour in direct-answer settings, the role of Chain-of-Thought (CoT) reasoning remains under-...
Zhaoxin Feng, Zheng Chen, Jianfei Ma, Yip Tin Po, Emmanuele Chersoni, Bo Li
When AI Navigates the Fog of War
Can AI reason about a war before its trajectory becomes historically obvious? Analyzing this capability is difficult because retrospective geopolitical prediction is heavily confounded by training-...
Ming Li, Xirui Li, Tianyi Zhou
FlowComposer: Composable Flows for Compositional Zero-Shot Learning
Compositional zero-shot learning (CZSL) aims to recognize unseen attribute-object compositions by recombining primitives learned from seen pairs. Recent CZSL methods built on vision-language models...
Zhenqi He, Lin Li, Long Chen
Students' reasoning in choosing measurement instruments in an introductory physics laboratory course
The aim of this study is to investigate the decisions and reasoning of undergraduate students when choosing simple measurement instruments in an introductory physics laboratory course. For this stu...
Micol Alemani, Karel Kok, Eva Philippaki
Why We Need to Destroy the Illusion of Speaking to A Human: Critical Reflections On Ethics at the Front-End for LLMs
Conversation with chatbots based on Large Language Models (LLMs) such as ChatGPT has become one of the major forms of interaction with Artificial Intelligence (AI) in everyday life. What makes this...
Sarah Diefenbach, Daniel Ullrich