Papers
Research papers from arXiv and related sources
A Passive Elastic-Folding Mechanism for Stackable Airdrop Sensors
Air-dispersed sensor networks deployed from aerial robotic systems (e.g., UAVs) provide a low-cost approach to wide-area environmental monitoring. However, existing methods often rely on active act...
Damyon Kim, Yuichi Honjo, Tatsuya Iizuka, Naomi Okubo, Naoto Endo, Hiroshi Matsubara, Yoshihiro K...
RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
Reinforcement learning (RL) holds significant promise for enhancing the agentic reasoning capabilities of large language models (LLMs) with external environments. However, the inherent sparsity of ...
Xiao Feng, Bo Han, Zhanke Zhou, Jiaqi Fan, Jiangchao Yao, Ka Ho Li, Dahai Yu, Michael Kwok-Po Ng
BeamAgent: LLM-Aided MIMO Beamforming with Decoupled Intent Parsing and Alternating Optimization for Joint Site Selection and Precoding
Integrating large language models (LLMs) into wireless communication optimization is a promising yet challenging direction. Existing approaches either use LLMs as black-box solvers or code generato...
Xiucheng Wang, Yue Zhang, Nan Cheng
The multi-objective portfolio model for oil and gas exploration drilling projects selection and its operator-enhanced NSGA-II based solution
Drilling investment is pivotal to operational planning in oil and gas (O\&G) exploration. Conventional deployment relies heavily on fragmented expert assessments of geological and economic factors,...
Chao Min, Junyi Cui, Stanisław Migórski, Yonglan Xie, Qingxia Zhang, Jun Peng
Guided elastic waves informed material modelling of soft incompressible media
Identifying a universal material constitutive law, that describes the mechanical response of rubber-like solids for all deformation fields and achievable extensions, is an outstanding challenge. He...
Pierre Chantelot, Samuel Croquette, Fabrice Lemoult
Tursio Database Search: How far are we from ChatGPT?
Business users need to search enterprise databases using natural language, just as they now search the web using ChatGPT or Perplexity. However, existing benchmarks -- designed for open-domain QA o...
Sulbha Jain, Shivani Tripathi, Shi Qiao, Alekh Jindal
Agent Control Protocol: Admission Control for Agent Actions
Agent Control Protocol (ACP) is a formal technical specification for governance of autonomous agents in B2B institutional environments. ACP is the admission control layer between agent intent and s...
Marcelo Fernandez
Student views in AI Ethics and Social Impact
An investigation, from a gender perspective, of how students view the ethical implications and societal effects of artificial intelligence is conducted, examining concepts that could have a big inf...
Tudor-Dan Mihoc, Manuela-Andreea Petrescu, Emilia-Loredana Pop
Detecting Basic Values in A Noisy Russian Social Media Text Data: A Multi-Stage Classification Framework
This study presents a multi-stage classification framework for detecting human values in noisy Russian language social media, validated on a random sample of 7.5 million public text posts. Drawing ...
Maria Milkova, Maksim Rudnev
An automata-based test for bricks over string algebras
Motivated by the recent work of Deaconu, Mousavand and Paquette on the connection between infinite string bricks for certain gentle algebras and Sturmian words, we develop a decorated version of a ...
Amit Kuber, Annoy Sengupta
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
Multi-turn LLM agents are increasingly important for solving complex, interactive tasks, and reinforcement learning (RL) is a key ingredient for improving their long-horizon behavior. However, RL t...
Hao Zhang, Mingjie Liu, Shaokun Zhang, Songyang Han, Jian Hu, Zhenghui Jin, Yuchi Zhang, Shizhe D...
Can LLM generate interesting mathematical research problems?
This paper is the second one in a series of work on the mathematical creativity of LLM. In the first paper, the authors proposed three criteria for evaluating the mathematical creativity of LLM and...
Xiaoyang Chen, Xiang Jiang
Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation
Large Vision Language Models (LVLMs) excel at semantic understanding but struggle with fine grained spatial grounding, as the model must implicitly infer complex geometry without ever producing a s...
Yuchen Li, Amanmeet Garg, Shalini Chaudhuri, Rui Zhao, Garin Kessler
Functional Subspace Watermarking for Large Language Models
Model watermarking utilizes internal representations to protect the ownership of large language models (LLMs). However, these features inevitably undergo complex distortions during realistic model ...
Zikang Ding, Junhao Li, Suling Wu, Junchi Yao, Hongbo Liu, Lijie Hu
Weaver: Fuzzing JavaScript Engines at the JavaScript-WebAssembly Boundary
The security of modern JavaScript (JS) engines is critical since they provide the primary defense mechanism for executing untrusted code on the web. The recent integration of WebAssembly (Wasm) has...
Lingming Zhang, Binbin Zhao, Puzhuo Liu, Qinge Xie, Peng Di, Jianhai Chen, Shouling Ji
Mi:dm K 2.5 Pro
The evolving LLM landscape requires capabilities beyond simple text generation, prioritizing multi-step reasoning, long-context understanding, and agentic workflows. This shift challenges existing ...
KT Tech innovation Group
Proceedings of the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind
This volume includes a selection of papers presented at the 2nd Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2026 in Singapore on 26th January 2026. The purpose...
Nitay Alon, Joseph M. Barnby, Reuth Mirsky, Stefan Sarkadi
Automatic Configuration of LLM Post-Training Pipelines
LLM post-training pipelines that combine supervised fine-tuning and reinforcement learning are difficult to configure under realistic compute budgets: the configuration space is high-dimensional an...
Channe Chwa, Xinle Wu, Yao Lu
A Concept is More Than a Word: Diversified Unlearning in Text-to-Image Diffusion Models
Concept unlearning has emerged as a promising direction for reducing the risks of harmful content generation in text-to-image diffusion models by selectively erasing undesirable concepts from a mod...
Duc Hao Pham, Van Duy Truong, Duy Khanh Dinh, Tien Cuong Nguyen, Dien Hy Ngo, Tuan Anh Bui
Implicit Grading Bias in Large Language Models: How Writing Style Affects Automated Assessment Across Math, Programming, and Essay Tasks
As large language models (LLMs) are increasingly deployed as automated graders in educational settings, concerns about fairness and bias in their evaluations have become critical. This study invest...
Rudra Jadhav, Janhavi Danve, Sonalika Shaw