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Computation & Language / NLP
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Newest papers, page 14
SMILE: A Structured Multi-Agent Clinical Reasoning for Liver Ultrasound Understanding
Automated liver ultrasound report generation improves the diagnosis of liver diseases by producing clinically structured descriptions of anatomical and disease-related findings.From Language to Country to Valence: A Multilingual Audit of Stereotype Bias Across LLMs
Large language models (LLMs) are increasingly considered for education, recruitment, workplace decision support, and other consequential applications, making pre-deployment social-bias detection…They Know Where It Is, But Not What It Says: A Bilingual Hallucination Benchmark of Hadith Recall in Open LLMs
Large language models are increasingly consulted for religious knowledge, including the recall of specific Hadith (recorded sayings and actions of the Prophet Muhammad, peace be upon him).Scalaris: A Scalable Enterprise Memory Architecture for Conversational AI Assistants
Enterprise conversational systems require memory to personalize interactions, retain information across sessions, and maintain conversational coherence.ICJ-Graph: A Citation Graph and a Layered Document Corpus of the International Court of Justice
We present ICJ-Graph, a machine-readable resource connecting documents of the International Court of Justice (ICJ) to cited cases, legal provisions and United Nations resolutions.SYNC: A Training-Free Inference Controller for Dynamic Layer Selection in Multi-Persona Alignment
Steering vectors align a model at inference time without touching its weights, but eliciting several personas at once is a different problem from eliciting one.Variable names provide priors: semantic grounding enables data-efficient numerical prediction by large language models
Large language models (LLMs) have achieved strong performance across diverse tasks, from question answering to code generation.Constructing an Artworld Influencers Network by Mining Social Media
The author shows a methodology for constructing a network map of the artworld.Train the Sampler You Run: Few-Step Masked Diffusion Language Models via Mixture-Likelihood Fine-Tuning
When a masked diffusion language model is sampled in a few parallel steps in a random order, the model actually run is a mixture over reveal plans, while cross-entropy training fits token…LLMs Cannot Be Neutral: Gender Sensitivity Across Candidates, Evaluators, and Models
Large language models (LLMs) are increasingly used to evaluate candidates for professional roles, raising concerns about their sensitivity to demographic identities.MicroMouse: Masking Harmful Supervision in Long CoT via Relative Potential
Even successful long CoTs may contain harmful supervision, motivating the need for methods that can automatically identify and mask such signals during SFT.Replay for LLM Continual Learning with Multi-Teacher On-Policy Distillation
Multi-teacher on-policy distillation (MOPD) distills several domain experts into one student and is used in the post-training of recent large language models.EffComp: Efficient Prompt Compression via Hybrid Reinforcement & Supervised Learning
Prompt compression is aimed at reducing input prompt lengths to enable cheaper, faster, and potentially higher-quality LLM predictions.Stop Handcrafting Your Engine! GenDB-V: Towards AI-Generated and Formally Verified Database Systems
For over 50 years, the database community has developed a wide range of successful engines to answer two fundamental questions: how can database systems run faster, and how can we ensure their…PGuard: A Native, Streaming, and Plug-in Guardrail for Multimodal Large Language Models
As streaming generation becomes the dominant serving paradigm for both text-only and multimodal large language models, ensuring safety throughout the generation process has become a critical…SelfImprove-Bench: Evaluating Generalization in Self-Improving Agents
Recursively self-improving (RSI) systems are increasingly viewed as a promising means of accelerating progress toward artificial general intelligence.Creating Hybrid Interactive Narrative Systems with LLM: From Formal Description to Evaluation
Interactive narratives let users shape a story while an Experience Manager (EM) keeps it coherent, balancing player freedom against authorial control.TRIO: Task Refinement with Individual Optimization for Retrieval-Augmented Generation
This paper studies retrieval-augmented generation (RAG), which leverages external knowledge to improve the performance of language models.Window-Aware Scheduling for Health Messaging under Platform Delivery Constraints: Evidence from an AI-Powered WhatsApp Maternal and Infant Health Chatbot in Nigeria
WhatsApp lets a business send free-form messages only within 24 hours of a user's last message; outside this customer service window, only pre-approved templates are delivered.Omni-Life: Benchmarking Omnimodal Real-Time AI Assistants in People's Daily Lives
Real-time omnimodal assistants are expected to support people in everyday life, but audiovisual understanding alone does not establish whether they can provide timely and appropriate help.