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Computation & Language / NLP
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Newest papers, page 169
templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora
Structured radiology reporting mitigates the heterogeneity of free-text reports, yet its benefits depend on high-quality reporting templates.Inductive Claims Extraction at Scale
A large part of political discourse on social media is built and expressed at a level of claims: i.e. declarative, typically single-clause statements, which convey a particular interpretation of…Mind the Gaps: From Failure Attribution to Closed-Form Repair of Code Language Models
Code language models must be maintained like the software around them: when a library evolves, a model keeps writing the interface that it saw during training.When Verifiable Counts Depend on Wording: Auditing Wording Robustness in Instruction Following
Verifiable instruction-following benchmarks often express each constraint through one fixed template.Red-TTT: Test-Time Training for Automated Jailbreaking Large Language Models
Large language models remain vulnerable to jailbreaks, and automated red teaming is the standard way to find jailbreaks in large language models at scale.RubricArmor: Adversarial Evolution Improves LLM-Based Rubric Generation
Rubric-based reinforcement learning (RL) provides interpretable rewards for aligning large language models (LLMs) by evaluating responses against query-specific evaluation criteria.When Does Longer Reasoning Help? Predicting Mathematical Reasoning Through Discovery and Execution
Test-time compute can improve mathematical reasoning, but can short-budget runs predict how mathematical reasoning scales with additional compute?MemStrata: 95% and 90.91% Source-Aware Accuracy on LongMemEval-500 and LoCoMo-1540 with a Local Qwen 3.8 27B Q4_K_M Reader
An adequate conversational answer may differ from a short or incomplete benchmark reference.The ÌròyìnSpeech Text Corpus: 24,905 Curated Yorùbá Sentences for Speech and Language Technology
ÌròyìnSpeech is a 42-hour, 80-speaker Yorùbá read-speech corpus whose audio has been distributed by ELRA since 2024.Towards Unbiased On-Policy Distillation for Block Diffusion Language Models
On-policy distillation (OPD) has emerged as an effective post-training paradigm for language models, with recent efforts extending it to block diffusion language models (BDLMs).VHDL-REPOBENCH: A Repository-Level Benchmark for Evaluating Large Language Models on VHDL Design Generation
Large Language Models (LLMs) are increasingly applied in hardware design automation, demonstrating strong potential in generating and understanding hardware description languages.Harness-Search: Guiding Long-Horizon Search through Multi-Agent Coordination
Long-horizon search requires agents to gather evidence across multiple steps and synthesize it into well-supported answers.GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation
Large language models (LLMs) have demonstrated strong performance on coding and reasoning benchmarks; however, their ability to solve graph-structured machine learning problems remains largely…The Hidden States Cookbook: A Large-Scale Ablation Study for Noise-Robust Conversational Intent Classification in Industry
Conversational database interfaces face a critical challenge: users naturally embed queries in conversational noise (greetings, politeness, off-topic remarks), which degrades intent classification…Task Vector Descent: Learning from Non-IID Batches
A central challenge in continual learning is to acquire new knowledge without forgetting what the model has already learned.Unmentioned Checklist Findings Change How Reinforcement Learning Appears to Improve Chest Radiograph Report Checking
Automated checks of radiology reports may rely on AI-generated checklists that leave findings unmentioned.TeleTune: Evolving Agent Skills From Offline Telemetry
Computer-use agents need to capture procedural knowledge of how people use software.Writing as a Self-Organized Critical Process
We explain autocorrelation decay power laws omnipresent in texts by self-organized criticality.Universal Test-Time Training
Recent Test-Time Training (TTT) architectures compress context into fast weights that are updated online and queried as memory.DelegationBench: Measuring When AI Agents Should Ask Before Acting
AI agents that send emails, edit files, and make purchases must decide when to act on their own and when to check with the user first.