Papers
Research papers from arXiv and related sources
Affordable Precision Agriculture: A Deployment-Oriented Review of Low-Cost, Low-Power Edge AI and TinyML for Resource-Constrained Farming Systems
Precision agriculture increasingly integrates artificial intelligence to enhance crop monitoring, irrigation management, and resource efficiency. Nevertheless, the vast majority of the current syst...
Riya Samanta, Bidyut Saha
ReactMotion: Generating Reactive Listener Motions from Speaker Utterance
In this paper, we introduce a new task, Reactive Listener Motion Generation from Speaker Utterance, which aims to generate naturalistic listener body motions that appropriately respond to a speaker...
Cheng Luo, Bizhu Wu, Bing Li, Jianfeng Ren, Ruibin Bai, Rong Qu, Linlin Shen, Bernard Ghanem
Identifying Topological Differences in Two Populations of Random Geometric Objects
We propose a statistical framework to identify topological differences in two populations of random geometric objects. The proposed framework involves first associating a topological signature with...
Satish Kumar, Subhra Sankar Dhar
Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
Biomedical knowledge is fragmented across siloed databases -- Reactome for pathways, STRING for protein interactions, Gene Ontology for functional annotations, ClinicalTrials.gov for study registri...
Madhulatha Mandarapu, Sandeep Kunkunuru
Luminosity-Temperature Relation as a Probe for Modified Gravity
We investigate the luminosity-temperature ($L$-$T$) relation of galaxy clusters as a probe for testing modified gravity (MG) theories, focusing on $f(R)$ gravity and symmetron models. Using an impr...
Antonino Del Popolo, Saeed Fakhry, David F. Mota
On the equivalence between additive and linear codes
Additive codes have attracted considerable attention for their potential to outperform linear codes. However, distinguishing strictly additive codes from those that are equivalent to linear codes r...
Kanat Abdukhalikov, Duy Ho
The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learning
Despite recent advances in face recognition, robust performance remains challenging under large variations in age, pose, and occlusion. A common strategy to address these issues is to guide represe...
Ana Dias, João Ribeiro Pinto, Hugo Proença, João C. Neves
Writer-R1: Enhancing Generative Writing in LLMs via Memory-augmented Replay Policy Optimization
As a typical open-ended generation task, creative writing lacks verifiable reference answers, which has long constrained reward modeling and automatic evaluation due to high human annotation costs,...
Jihao Zhao, Shuaishuai Zu, Zhiyuan Ji, Chunlai Zhou, Biao Qin
Thinking in Latents: Adaptive Anchor Refinement for Implicit Reasoning in LLMs
Token-level Chain-of-Thought (CoT) prompting has become a standard way to elicit multi-step reasoning in large language models (LLMs), especially for mathematical word problems. However, generating...
Disha Sheshanarayana, Rajat Subhra Pal, Manjira Sinha, Tirthankar Dasgupta
LLMs and Speech: Integration vs. Combination
In this work, we study how to best utilize pre-trained LLMs for automatic speech recognition. Specifically, we compare the tight integration of an acoustic model (AM) with the LLM ("speech LLM") to...
Robin Schmitt, Albert Zeyer, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney
Prompt Readiness Levels (PRL): a maturity scale and scoring framework for production grade prompt assets
Prompt engineering has become a production critical component of generative AI systems. However, organizations still lack a shared, auditable method to qualify prompt assets against operational obj...
Sebastien Guinard
Interpretable Predictability-Based AI Text Detection: A Replication Study
This paper replicates and extends the system used in the AuTexTification 2023 shared task for authorship attribution of machine-generated texts. First, we tried to reproduce the original results. E...
Adam Skurla, Dominik Macko, Jakub Simko
Scalable Self-Testing of Mutually Anticommuting Observables and Maximally Entangled Two-Qudits
The next frontier in device-independent quantum information lies in the certification of scalable and parallel quantum resources, which underpin advanced quantum technologies. We put forth a simult...
Souradeep Sasmal, Ritesh K. Singh, Prabuddha Roy, A. K. Pan
Gravity from surface triangulation: convergence acceleration with nested grids
The determination of the gravitational potential by the polyhedral method is revisited in the case where the surface of a body is composed of triangular facets. Based upon six test-shapes of astrop...
Jean-Marc Huré
Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework
While watermarking serves as a critical mechanism for LLM provenance, existing secret-key schemes tightly couple detection with injection, requiring access to keys or provider-side scheme-specific ...
Zhuoshang Wang, Yubing Ren, Yanan Cao, Fang Fang, Xiaoxue Li, Li Guo
Performance of Efron and Tibshirani's semiparametric density estimator
Recently, Efron and Tibshirani (Annals of Statistics, 1996) proposed a semiparametric density estimator, which works by multiplying an initial kernel type estimate with a parametric exponential typ...
Nils Lid Hjort
Probing the first generations of massive stars through fluorine in CEMP-no stars
We investigate whether the first discovered fluorine-rich CEMP-no star, CS 29498$-$043, can be explained by a very metal-poor rotating massive star. We consider single rotating stellar models of 20...
Arthur Choplin, Georges Meynet
Directional Routing in Transformers
We introduce directional routing, a lightweight mechanism that gives each transformer attention head learned suppression directions controlled by a shared router, at 3.9% parameter cost. We train a...
Kevin Taylor
Which stylistic features fool ChatGPT research evaluations?
Large Language Models (LLMs) have the potential to be used to support research evaluation and have a moderate capability to estimate the research quality of a journal article from its title and abs...
Kayvan Kousha, Mike Thelwall
Integrated Channel Sounding and Communication: Requirements, Architecture, Challenges, and Key Technologies
Channel models are essential for the design, evaluation, and optimization of wireless communication systems. The emerging space-air-ground-sea integrated network (SAGSIN), characterized by diverse ...
Nanhao Zhou, Chao Zou, Yu Zhou, Yanqun Tang, Xiaoying Zhang, Haoran Yin, Xuefeng Yin, Yuxiang Zha...