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🔍 peter pollner 📂 AI & Data Science
Showing 1934 results for "peter pollner" in AI & Data Science
AI & Data Science Preprint PDF DOI

SpecVQA: A Benchmark for Spectral Understanding and Visual Question Answering in Scientific Images

Jialu Shen, Han Lyu, Suyang Zhong, Hanzheng Li, Haoyi Tao, Nan Wang, Changhong Chen, Xi Fang · 2026

Spectra are a prevalent yet highly information-dense form of scientific imagery, presenting substantial challenges to multimodal large language models (MLLMs) due to their unstructured and domain-spec…

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Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future

Sihong Wu, Owen Jiang, Yilun Zhao, Tiansheng Hu, Yiling Ma, Kaiyan Zhang, Manasi Patwardhan, Arman Cohan · 2026

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated me…

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AI & Data Science Preprint PDF DOI

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts

Yuan Xin, Yixuan Weng, Minjun Zhu, Ying Ling, Chengwei Qin, Michael Hahn, Michael Backes, Yue Zhang, Linyi Yang · 2026

As Large Language Models (LLMs) are increasingly integrated into academic peer review, their vulnerability to adversarial prompts -- adversarial instructions embedded in submissions to manipulate outc…

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AI & Data Science Preprint PDF DOI

Camera-RFID Fusion for Robust Asset Tracking in Forested Environments

John Hateley, Sriram Narasimhan, Omid Abari · 2026

Passive RFID tags offer a cost-effective and scalable solution for tracking numerous deployed assets. However, in forested environments, signal attenuation and multipath effects generally limit RFID s…

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AI & Data Science Preprint PDF DOI

PeeriScope: A Multi-Faceted Framework for Evaluating Peer Review Quality

Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour, Negar Arabzadeh, Sara Salamat, Seyed Mohammad Hosseini, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri · 2026

The increasing scale and variability of peer review in scholarly venues has created an urgent need for systematic, interpretable, and extensible tools to assess review quality. We present PeeriScope, …

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AI & Data Science Preprint PDF DOI

CommFuse: Hiding Tail Latency via Communication Decomposition and Fusion for Distributed LLM Training

Rezaul Karim, Austin Wen, Wang Zongzuo, Weiwei Zhang, Yang Liu, Walid Ahmed · 2026

The rapid growth in the size of large language models has necessitated the partitioning of computational workloads across accelerators such as GPUs, TPUs, and NPUs. However, these parallelization stra…

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From Noisy Historical Maps to Time-Series Oil Palm Mapping Without Annotation in Malaysia and Indonesia (2020-2024)

Nuttaset Kuapanich, Juepeng Zheng, Bohan Shi, Jiaying Liu, Jiayin Jiang, Jiatao Huang, Shenghan Tan, Qingmei Li, Haohuan Fu · 2026

Accurate monitoring of oil palm plantations is critical for balancing economic development with environmental conservation in Southeast Asia. However, existing plantation maps often suffer from low sp…

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AI & Data Science Preprint PDF DOI

When AI reviews science: Can we trust the referee?

Jialiang Wang, Yuchen Liu, Hang Xu, Kaichun Hu, Shimin Di, Wangze Ni, Linan Yue, Min-Ling Zhang, Kui Ren, Lei Chen · 2026

The volume of scientific submissions continues to climb, outpacing the capacity of qualified human referees and stretching editorial timelines. At the same time, modern large language models (LLMs) of…

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AI & Data Science Preprint PDF DOI

Usable Agent Discovery for Decentralized AI Systems

Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini, Saul Urso · 2026

Large-scale agentic systems run on distributed infrastructures where many software agents share physical hosts and are discovered via peer-to-peer mechanisms. Discovery must handle node-level churn fr…

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Rethinking Publication: A Certification Framework for AI-Enabled Research

Yang Lu, Rabimba Karanjai, Lei Xu, Weidong Shi · 2026

AI research pipelines now produce a growing share of publishable academic output, including work that meets existing peer-review standards for quality and novelty. Yet the publication system was built…

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Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts

Azher Ahmed Efat, Seok Hwan Song, Wallapak Tavanapong · 2026

Charts are widely used to present complex information. Deriving meaningful insights in real-world contexts often requires interpreting multiple related charts together. Research on understanding multi…

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A Hierarchical MARL-Based Approach for Coordinated Retail P2P Trading and Wholesale Market Participation of DERs

Patrick Wilk, Ethan Cantor, Yikui Liu, Jie Li · 2026

The ongoing shift towards decentralization of the electric energy sector, driven by the growing electrification across end-use sectors, and widespread adoption of distributed energy resources (DERs), …

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What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review

Ming Jin · 2026

Evaluating AI-generated reviews by verdict agreement is widely recognized as insufficient, yet current alternatives rarely audit which concerns a system identifies, how it prioritizes them, or whether…

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Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI

Wenqing Wu, Chengzhi Zhang, Yi Zhao, Tong Bao · 2026

With the rapid advancement of Large Language Models (LLMs), the academic community has faced unprecedented disruptions, particularly in the realm of academic communication. The primary function of pee…

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Mesh Memory Protocol: Semantic Infrastructure for Multi-Agent LLM Systems

Hongwei Xu · 2026

Teams of LLM agents increasingly collaborate on tasks spanning days or weeks: multi-day data-generation sprints where generator, reviewer, and auditor agents coordinate in real time on overlapping bat…

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Beyond Rating: A Comprehensive Evaluation and Benchmark for AI Reviews

Bowen Li, Haochen Ma, Yuxin Wang, Jie Yang, Yining Zheng, Xinchi Chen, Xuanjing Huang, Xipeng Qiu · 2026

The rapid adoption of Large Language Models (LLMs) has spurred interest in automated peer review; however, progress is currently stifled by benchmarks that treat reviewing primarily as a rating predic…

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AI & Data Science Preprint PDF DOI

The High Explosives and Affected Targets (HEAT) Dataset

Bryan Kaiser, Kyle Hickmann, Sharmistha Chakrabarti, Soumi De, Sourabh Pandit, David Schodt, Jesus Pulido, Divya Banesh, Christine Sweeney · 2026

Artificial Intelligence (AI) surrogate models provide a computationally efficient alternative to full-physics simulations, but no public datasets currently exist for training and validating models of …

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A Generalized Synthetic Control Method for Baseline Estimation in Demand Response Services

Jonas Sievers, Mardavij Roozbehani · 2026

Baseline estimation is critical to Demand Response (DR) settlement in electricity markets, yet existing machine learning methods remain limited in predictive performance, while methodologies from caus…

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AI & Data Science Preprint PDF DOI

Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus

Esteban Rodriguez-Betancourt, Edgar Casasola-Murillo · 2026

In self-supervised learning, self-distilled methods have shown impressive performance, learning representations useful for downstream tasks and even displaying emergent properties. However, state-of-t…

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Toward Zero-Egress Psychiatric AI: On-Device LLM Deployment for Privacy-Preserving Mental Health Decision Support

Eranga Bandara, Asanga Gunaratna, Ross Gore, Anita H. Clayton, Christopher K. Rhea, Sachini Rajapakse, Isurunima Kularathna, Sachin Shetty, Ravi Mukkamala, Xueping Liang, Preston Samuel, Atmaram Yarlagadda · 2026

Privacy represents one of the most critical yet underaddressed barriers to AI adoption in mental healthcare -- particularly in high-sensitivity operational environments such as military, correctional,…

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