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Computation & Language / NLP
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Newest papers, page 53
Concentrated Causal Influence, Distributed Diagnostic Information: Cognitive Impairment Decisions in Large Audio-Language Models
Large audio-language models (LALMs) can assess cognitive impairment (CI) from speech, yet their answers reveal neither which internal components control the decision nor how much CI information is…Behaviour analysis for large language model-driven agents
Understanding language-agent behaviour requires learning how actions are organised across a trajectory and how this organisation relates to context and outcomes.Putting Transformer Theories to the Test
Several formal theories have been developed to characterize the capabilities and limitations of the transformer architecture, each employing different abstractions that capture different features of…Beyond What to Say: Proactive Utterance Timing with Inner Thoughts for Werewolf Agents
Participating in a conversation involves not only deciding what to say but also whether to speak at all.Context or Knowledge: How LLMs Attribute Their Own Answers
Language models can answer a question from a supplied document or from their parametric knowledge.REACT: Representational Early Analysis and Control of Chain-of-Thought Trajectories
Chain-of-thought (CoT) generation offers an opportunity to intervene before a reasoning model completes its answer.Tampered ML: Evaluating LLM Judgment of Machine Learning Research
One approach to accelerating progress on AI alignment is to automate parts of alignment research itself.EDWARD-NMT: Elastic Dimensions With Adaptive Routing and Dual-consistency for Neural Machine Translation
Sparse Mixture-of-Experts (MoE) is a powerful paradigm for scaling Neural Machine Translation (NMT) and managing language heterogeneity.Semantically Rich, Metrically Affect-Blind: A Geometric Blind Spot in Modern Text Embedders
We report a systematic dissociation in modern text embedders: sentiment is almost perfectly decodable from their embeddings, yet almost entirely absent from their metric.Data Quality in RVL-CDIP: A Systematic Audit
RVL-CDIP is the de facto standard benchmark for document classification, and reported accuracy on it is now 98.8%.From Noisy Retrieval to Decision Evidence: Silver Evidence Demonstrations for In-Context Learning
RAG and retrieval-augmented few-shot ICL can struggle when decision-relevant evidence is buried in long, noisy context.Shorter Is Not Cheaper: A Controlled Comparison of Declarative Animation Specifications and Free-Form Code for LLM-Generated Explanations
Chat assistants increasingly answer conceptual questions with interactive, animated explanations, generated either as free-form HTML/JavaScript or as declarative specifications that a fixed runtime…SyncPro: Synchronous Reasoning and Responding for Proactive Streaming Video Understanding
Proactive streaming video understanding requires assistants to track unfolding events and respond when a user's requested condition is met.Disentangling Question, Response, and Verifier Languages in Multilingual P(True) Self-Evaluation
When a language model is asked whether its own answer is correct, three languages are involved: that of the question, that requested for the answer, and that of the verifier instruction asking for…From Promises to Accountability: Comparative AI Modeling and Visualization of Electoral Commitments in Nepali Political Texts
Election Commitment Mining refers to the analysis of election commitments made by electoral candidates or political parties during election campaigns.The LLENS Platform for On-Premises Large Language Model Agents in a Japanese University Hospital: Development and Evaluation Study
Large language model agents that use tools could take on part of the electronic health record and desk work that occupies physicians' time, but in many hospitals the medical information systems run…Not All Information Is Worth Asking For: Decision-Informed Information Seeking with LLMs
Large language models (LLMs) are increasingly used to support decisions under incomplete information, where deciding what to look up and when to stop matters as much as the final answer.Depth-Dependent Safety Geometry in Vision-Language Models: Layer-Wise Localization and Bidirectional Refusal Control
Vision-Language Models (VLMs) are widely deployed, yet the internal mechanisms behind their safety behavior remain poorly understood.Collection-Date Assignment Redirects Answers in Temporal QA
A collection date records when a source revision was acquired, not when its contents changed.SWE-Shift: Evaluating Coding Agents in Evolving Workspaces
Repository-level coding benchmarks largely assume that tasks and environments remain unchanged throughout execution.