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2,211 papers
BADD is a human-annotated Bangla social-media dataset for arrogance detection and fine-grained arrogance analysis. The current release contains 22,427 comments based on three independent human annotation files. No AI system or model-derived signal was used as an annotator or for human consensus. The original annotation...
A novel taxonomy to categorize advanced techniques into non-interactive reasoning, interactive collaboration, and efficiency-oriented decoding strategies is proposed and serves as a strategic roadmap to foster further innovation in parallel reasoning.
Replication package for the paper "Evaluating LLMs for Single-File Modernization of Legacy PHP: Source Modernization versus Behavioral Preservation." The study evaluates five large language models (Claude Sonnet 4, Gemini 2.5 Pro, Gemini 2.5 Flash, GPT-5 Codex, and Llama 3.3 70B Instruct) on modernizing 100 WordPress 4...
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This record documents a pre-results, pre-freeze public study protocol and reproducibility harness for an empirical study of tool-using large-language-model agents under prompt-injection exposure and externally narrowed authority. The artifact specifies the threat model, authority narrowing and evidence-gated restoratio...
Prefix adders are fundamental arithmetic circuits, but their design space grows exponentially with bit-width, posing significant optimization challenges. Previous works face limitations in performance, generalization, and scalability. To address these challenges, we propose PrefixAgent , a large language model (LLM)-po...
Before organisations can successfully manage to coordinate their complex supply chains, a long distance still lies ahead before they can become more responsive, efficient and resilient. A new use of AI that is possible with the integration of Large Language Models (LLMs) into Multi-Agent Systems (MAS) is intelligent, r...
Background Healthy lifestyle management is essential for chronic disease prevention and long-term care. However, evidence linking lifestyle behaviors, biological mechanisms, and health outcomes is dispersed across diverse biomedical sources. This fragmentation makes it difficult for health professionals to efficiently...
In this paper, we present a latency-aware scheduler for large-language-model (LLM) inference across mobile devices, edge servers, and a remote cloud. Our fine-grained delay model captures OFDMA uplink/downlink rates, KV-cache backhaul serialization, and profiled GPU planning-chunk resource constraints, enabling per-req...
Microbial genomes encode non-coding RNAs (ncRNAs) and nucleic-acid-interacting proteins essential to biology and biotechnology. However, discovery of these systems remains protein-centric and based on similarity to known sequences. Here, we introduce Minerva, a framework for coevolutionary mining that uses genome langu...
Abstract / Description: This research note provides the formal mathematical specification and operational framework for the Cloud-Native Blast Radius Analyzer (C-NBRA), a specialized cybersecurity tool designed to continuously map, analyze, and mitigate zero-day breaches in Kubernetes environments using Zero Trust Arch...
In April 2026 a benchmark sent 13 food photographs about 500 times each to four vision-capable large language models (LLMs) at temperature 0.01 and reported median within-photograph coefficients of variation (CV) of 2.4% to 11.0%. Two newer models, Claude Fable 5.1 and GPT-6 Astra, accept no sampling parameter and cann...
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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