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Computation & Language / NLP
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Newest papers, page 227
Where a Model Sends Its Own Repeated Token
Black-box model identification works by scoring a model's response to natural-language prompts.RupeeBias: Auditing Demographic Bias in Indian Economic Guidance from Large Language Models
Individuals turn to large language models (LLMs) for guidance across a wide range of economic tasks, from comparing loan options and planning savings to deciding what raise to ask for or how much to…PIA: A Personal Intelligence Agent Turning Health Conversations into Records and Records into Understanding
General-purpose agent memory summarizes conversations: it extracts salient snippets, embeds them, and retrieves the top-k into the prompt.MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries
The quadratic complexity of dense self-attention remains a central bottleneck for long-context language modeling.Identifying Scientists on X
With the growing importance of science-related discourse on the Web and the erosion of the classical knowledge order, it is important to identify different user groups, such as scientists…Why Alzheimer's Speech Screening Fails to Generalize: Bridging the Deployment Gap via Cross-Corpus Evidence Anchoring
Speech-based screening is a promising, non-invasive approach for detecting Alzheimer's disease and related cognitive risks.The Right Information Extraction Pipeline Depends on the Document: Accuracy-Energy Trade-offs for Small, Local Models
Whether an information extraction pipeline should process page images or parsed text depends on the document, and the answer flips across the layout spectrum.Stale-Document Poisoning: When Outdated Retrieval Overrides Correct Model Answers
Retrieval-augmented generation (RAG) is often used to address outdated knowledge by providing external evidence.Highlight-Then-Summarize: Learning to Compress Evidence for Long-Context Understanding
Long-context understanding requires large language models (LLMs) to reason over lengthy documents, conversations, and code, yet task-relevant evidence is often sparse and scattered amid substantial…Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models
Automated and highly usable Quality-of-Service (QoS) enforcement requires translating high-level service intents into deployable traffic-management policies.Sorry Robot, Happy Human: Vision-Language Models Read Only One of Two Legible Typographic Layers
Vision-language models (VLMs), despite their success in optical character recognition (OCR) tasks, are vulnerable to typographic attacks and have a fragile structure for images with multiple text…Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis
Large language model-based multi-agent debate (MAD) systems are being increasingly used as complex decision pipelines in distributed processes.ViSTA: A Simple Bridge Extends Visual Alignment to Clinical Time-Series Understanding in Multimodal LLMs
Clinical prediction models estimate risk from patient measurements, while large language models support medical text understanding and question answering.PriceBench: A Diagnostic Benchmark for Price, Quality, and Brand Preferences in LLM Booking Agents
LLMs increasingly act as purchasing agents, which makes the LLM, not the user, the one choosing among the options that satisfy a request; its preferences quietly fix what gets bought and what it…Evaluating Cultural Awareness of LLMs for Haitian Creole
Large language models (LLMs) exhibit substantial performance disparities between high- and low-resource languages.Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge
We present Muslim, a production Arabic voice AI platform serving grounded, sourced Islamic knowledge to real users.Statistical Foundations for a Google Play User-Review Sentiment Index: Signal Fusion, Shrinkage, Distributional Validation, and Dynamic Smoothing
We develop a statistically explicit sentiment index for Google Play user reviews and establish the mathematical results supporting its construction.Two Conformal Constructions for Adaptive Within-Document AI-Text Screening
We study false-alert control when screening for text generated by artificial intelligence (AI).MexHat: A Dataset for Hate Speech Detection in Mexican Spanish Videos
Ensuring online safety through content monitoring had raised Hate Speech Detection as a crucial task to be addressed.Strategically Diverse Sampling for Self-Training
Many LLM training and inference methods, including RL and test-time scaling, depend on repeated sampling, but benefit only when the responses meaningfully differ.