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Newest papers, page 248
HaikuS2S: A Cascaded System For Responding In Verse
Expressive speech synthesis has advanced through prosody modeling, yet generating structured poetic speech, such as haiku, remains challenging.Impact Is Not Invalidation: Ask About the Claim, Not the Diff
Memory systems for coding agents must decide, when a repository changes, which of their stored claims have become false.Text Scores Can Miss Waveform Use: A Qwen2-Audio Quantization Case Study
Post-training quantization of speech language models is often summarized with text-output scores and nominal bit widths.COT-TTS: Audio Context-Aware Text-to-Speech with Chain-of-Thought Reasoning
Recently, text-to-speech systems have made significant progress in speech expressiveness and controllability.LLaDA-PRM: A Bidirectional Step-Level Reasoning Evaluator
Step-level reasoning evaluators are commonly based on autoregressive language models, whose causal attention restricts each step representation to the problem, previous steps, and the current step.Analyzing Public Discourse on Urbanism: Topic Clustering, Sentiment Analysis and Retrieval-Augmented Generation using YouTube Comments
Online discourse about urban issues - walkability, cycling infrastructure, public transit, housing density, and street safety - is voluminous but unstructured, and existing city-evaluation tools…Clinical Domain Classification from Medical Transcriptions
Clinical domain classification plays an important role in organizing and analyzing large volumes of unstructured medical text.Beyond Final-Token Classification: Heterogeneous Readouts for Evidence-Grounded Suicide Risk Detection
The IEEE BigData Cup benchmark combines three prediction problems with different output structures: ordinal suicide-risk classification, multi-label psychosocial factor detection, and extraction of…NLPCC 2026 Task 10: Citation-Level Faithfulness Verification with DeBERTa Ensembles and Class-Wise Calibration
This paper presents our system for Track 2 of the NLPCC 2026 Shared Task 10 on citation-level faithfulness in AI-assisted scientific reporting.MIS-Bench: Benchmarking Multimodal LLMs for Psychotherapeutic Interpersonal Skills Assessment
Multimodal large language models (MLLMs) are increasingly used as evaluators, yet their reliability in professional assessment tasks that require expert judgment remains unclear.Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation
LLM-based machine translation evaluation can closely match human judgments, but in practice it remains largely diagnostic, with the signals rarely translating into direct quality improvements under…AlexandriaX 2026: The First Shared Task on Dialectal Arabic Machine Translation
Dialectal Arabic machine translation (MT) remains challenging despite recent progress in Arabic language technologies, particularly because effective translation requires modeling not only semantic…To Consolidate or not to Consolidate? Evaluating the Impact of Consolidation in Multi-Reference Training using Peer Reviews
Natural language generation (NLG) tasks span the spectrum of conditional entropy, ranging from highly constrained machine translation to open-ended dialogue generation.Per-Query Gating of LLM Rerankers for Multi-Hop Retrieval
LLM rerankers add of the order of \$0.2-0.3 per 1,000 queries and about a second of tail latency on top of a graph-augmented dense pipeline such as HippoRAG2, and on three multi-hop benchmarks they…Block-Sparse Attention with Semantic-Geometric Decoupled Routing
Long-context inference has become a defining capability of large language models, but exact dense attention remains costly due to its quadratic scaling with sequence length.LLMs Anchor on Chief Complaint and Fail to Integrate Evidence in Sequential Clinical Triage
Triage in the emergency department (ED) is a sequential decision process that unfolds turn by turn.An Iterative LangGraph Agent for Text-to-SQL: Natural Language Access to the Chicago Crime Database
Non-technical stakeholders frequently cannot write the SQL needed to extract insights from operational databases.Measuring Behavioural Signatures of Large Language Models through Psychometric Profiling
Large language models (LLMs) increasingly mediate human decisions and communication, yet their behavioural regularities remain difficult to characterize systematically.Beyond Linear Context: Graph-Guided Evidence Navigation for Long-Novel Reasoning with a Local 9B Language Model
Long-context models read a novel the way a person reads a printout: one token after another, in narrative order, with the whole history competing for a fixed budget of attention.Beyond Single-Model Injection: A Threat Model and Defense Architecture for Prompt Injection in Multi-Agent Systems
Existing prompt injection research focuses on single-model chatbot scenarios, where an attacker manipulates one LLM through crafted input.