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Computation & Language / NLP
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Newest papers, page 127
ToolHACE: A Dataset for Detecting Hallucinations in Tool-Based LLM Responses
Tool-augmented language models ground their responses in external tool outputs, improving reliability beyond parametric knowledge alone.The Format is the Filter: Scoring Format Fixes What an LLM Judge Can Express
When an LLM judge filters instruction-tuning data, its scoring format (binary verdict, 1--5 rating, 0--100 score, or comparison) is rarely justified or ablated.Learning Perceptual Geometry of Natural Odor Mixtures from LLM-Derived Descriptors
The relationship between odor chemistry and perception remains incompletely understood.DuoDiscover: Scaling Autonomous Discovery Beyond the Evaluation Bottleneck
Evaluation has been central to advances in AI, and it is equally critical to autonomous discovery.Soft Teacher Forcing
Soft tokens have so far been used to replace discrete chain-of-thought in latent reasoning methods.Welcome to the Age of Agent Ads: Using On-Policy Attacks to Steer Agentic Decisions
People increasingly delegate option-ranking tasks (e.g., shopping, job search, travel) to AI agents, which creates incentives to steer agentic decisions via "agent ads.MLAfication: Efficiently Enabling High-Fidelity MLA for Modern LLMs
Multi-Head Latent Attention (MLA) compresses the KV cache into a latent representation, reducing inference memory and bandwidth.Online LLM Personalization from Pairwise Preferences Across Users
Large language models can answer the same question in different styles, but users' preferred styles are hidden and vary across users and questions.From Conceptual EneMonIE to an Executable Backend: A Modular Architecture for Energy Information Extractionand Grounded Question Answering
The original EneMonIE proposal describes a Web-based semantic system for continuously monitoring energy trends through targeted information extraction from heterogeneous online media.Nufo: A Benchmark for Ewe Automatic Speech Recognition
Automatic speech recognition (ASR) remains challenging for low-resource languages, where the scarcity of transcribed speech limits the development of accurate systems.StartLux-Decision: AutoThink Decision Models with Reinforcement Learning for Calibrated Deliberative Decisions
We introduce StartLux-Decision, decision models from 0.8B to 27B parameters that combine efficient single-pass prediction with adaptive, confidence-guided reasoning.From Sampled Evidence to Radiology Reports: Objectives, Constraints, and Realization
Sampling multiple reports creates an inference problem: how should sampled evidence be converted into a final decision, and does a better structured decision yield a better report?Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior
AI-generated outputs are frequently perceived as highly creative, but also tend to be more similar to each other (homogenized) than human ideas.The Curse of Knowledge in Role-Playing Language Models
Role-playing language models speak as characters in games and agent simulations, where the system records what each character can hear, see and understand.claimcheck: Measuring and Improving Specification Faithfulness
Formal verification proves that a program satisfies its specification, but says nothing about whether the specification captures what the author meant.UMCR: Universal Medical Concept Recognition through Guideline Integration and Agentic Linking
Medical Concept Recognition is the task of extracting and grounding spans in medical text to entries in a standard ontology.PIG: Parallel Inconsistency Guidance for Accelerating Diffusion Language Models
Diffusion language models accelerate generation by decoding multiple masked positions per forward pass.EPOCH: Coverage-Aware Evolution with Experiential Preference Optimization for LLM-based Automated Heuristic Design
LLM-based automated heuristic design (AHD) discovers heuristics for combinatorial optimization problems (COPs), where an LLM generates candidates in an evolutionary search.Evaluating Temporal Reasoning in Large Language Models: Event Temporal Relation Extraction with Allen's Interval Algebra, Logical Consistency, and Relative Time in Narratives
Understanding a narrative means knowing how every event relates in time to every other, yet large language models (LLMs) are mostly tested on isolated event pairs or coarse labels.The belief-action gap in language model agents
Language model (LM) agents can fail for different reasons, requiring different explanations and interventions.