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Computation & Language / NLP
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Newest papers, page 59
ColaBench: Evaluating Memory-Guided Knowledge Acquisition in Personal Agents
Personal agents need to draw on long-term interaction history to retrieve and apply external knowledge suited to a user's current request.Padding to k: A Minimum Count in the Schema Makes Open-Weight Models Pad Their Extraction Lists
Extraction pipelines ask language models for JSON that follows a schema, and the schema can set a minimum number of list entries.Mostly Reading: What Open-Book Scores Measure in Document-Level LoRA Adapters
Single-document LoRA adapters have been proposed as units of knowledge to be merged and retrieved; yet open-book scoring, with the document in the prompt, can credit a document's own adapter (its…Chunk Recomputation under Real Document Revisions: Measuring Update Cost and Retrieval Quality of Fixed, Recursive, and Content-Defined Chunking
Chunking strategies for retrieval-augmented generation are almost always evaluated on a static snapshot, yet the documents underlying a knowledge base continue to change.Harm Is Behavioural, Moderation Is Lexical: How Language and Culture Decide Whom Automated Safety Systems Protect and Whom They Silence
Content warning: this paper quotes slurs and hateful statements from published test suites; the racial slur among them is masked.SCOPE: Compiling Natural-Language Policies into Neurosymbolic Predicate Programs
Policy enforcement for LLM agents has shifted from single-turn content moderation to compound, application-specific policies evaluated over multi-turn transcripts and tool-call trajectories.What Pairwise Evaluation Misses: Reward Scores across Prompts
Reward models score responses for preference optimization, filtering and ranking, and pooling scores across prompts needs them to be comparable.RIFT: KV Cache Compression for Draft Models with Complementary Compressibility Training
Speculative decoding is a popular decode acceleration method.Learning What to Ask for Tomorrow: Active Preference Acquisition for Long-Term Personalized Web Agents
Web agents increasingly serve the same user across repeated online tasks such as booking travel, shopping, and scheduling, so their long-term usefulness depends on how well they know the user's…A Grammar of French Civil Cassation: A Ground-Level Dataset and Tool
This paper presents a dataset of 121,536 ground-reasons pairs across 86,464 rulings of the five civil chambers of the French Court of Cassation (2016-2025).Through a PRISM, Clearly: Step-Sequence Reasoning for Mistake Recognition in Procedural Videos
Procedural mistake recognition requires identifying deviations from valid multi-step activities.Delta N-gram: Forward-Only Continual Writing into a Language Model's Native N-gram Memory
Our previous analysis found that a model's native hashed N-gram table is where continual updates disturb the base least, but its writes needed backpropagation and changed the pretrained table.Mixing Matters: Evidence Position Bias Across Sequence Mixers in Long-Context Question Answering
Long-context models often use answer-bearing evidence less effectively when it appears away from a prompt boundary.Prompt Sensitivity in Tool-Augmented Model Comparisons
Language models are compared on question-answering benchmarks that pose each question in one wording, and a reworded question can change which of two models scores higher.Beyond Watching and Searching: Benchmarking Agents for Video-centered Deep Research Reports
Deep research agents synthesize open-web evidence into long reports, but current benchmarks do not evaluate research centered on a source video.Prompting Strategy Effects Depend on the Judge: A Multilingual Study of LLM-as-a-Judge Robustness
LLM-as-a-Judge evaluation is increasingly applied to multilingual tasks, yet prompting strategies such as Chain-of-Thought and Role Conditioning are recommended based solely on English benchmarks.When More Metadata Misleads: Probing Field-Level Grounding in LLM-Generated Museum Descriptions
Metadata-conditioned generation is often framed as a data-to-text task in which additional input fields should improve grounding.Investigating Multi-Cultural Value Selection Biases in LLMs
Large language models (LLMs) serve users whose cultural identities are multi-layered, yet cultural evaluations commonly reduce identity to one label.Predicting Music Valence and Arousal via Textual and Multimodal In-Context Learning in Large Language Models
While arousal can be reliably predicted from musical audio, emotional valence remains difficult to model due to its subjective and context-dependent nature.IndoNutriQA: An Indonesian Clinical Nutrition Question Answering Benchmark
Clinical Question Answering (QA) underpins Clinical Intelligent Decision Support Systems, but progress is severely limited for low-resource languages such as Indonesian by the absence of public…