AI & Machine Learning · Computer Science & AI
Computation & Language / NLP
The newest papers in Computation & Language / NLP that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 17 September 2026 to 5 November 2026: 5,000 arXiv preprints.
Get the few papers worth your time in Computation & Language / NLP every morning.
Follow Computation & Language / NLP and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 121
Evaluating Large Language Models for Multilingual Abstractive Summarization: A Comprehensive Study of English and Bengali
Abstractive summarization remains challenging across languages, where linguistic quality and factual consistency may diverge, particularly in low-resource settings.Can LLMs Access their World Knowledge for Event Prediction?
Recent work has questioned whether large language models (LLMs) can be useful for temporal event prediction.Joint Subspace Sparse Attention for Efficient Long-Context Decoding
Sparse attention reduces the KV-cache traffic that dominates long-context LLM decoding, but practical methods largely operate at coarse granularity.Crossing the Gender Binary: Modelling Gendered Reference in Science Fiction and General Fiction
Science fiction is widely credited with unsettling gender.Who Should We Listen to More? Welfare-Aware Preference Acquisition for Pluralistic Alignment
Pluralistic alignment needs to accommodate diverse preferences under limited human feedback.Tracing Morphology, Semantics, and Divergence in Language Acquisition
Understanding the dynamics of language acquisition in Large Language Models (LLMs) is crucial for uncovering how statistical representations evolve into structured linguistic capabilities.Graph Coarsening Enables Escaping Local Optima in Compute-Constrained Nonconvex MAX-CUT
Because its binary optimization landscape contains exponentially many local optima, MAX-CUT is highly sensitive to initialization.Pre-Trained Language Models as Zero-Shot Tools for Social Science Research
Record linkage and demographic inference from names are routine demands in social science.Smart Alone, Blind Together: Why Accuracy Fails to CertifyTheory of Mind in Multi-Agent Teams
Coordinators that act on what they infer about teammates are usually certified by the accuracy of those inferences.Beyond Aggregate Accuracy: Item-Level Transitions in Prompt Optimization
Automatic prompt optimization (APO) uses feedback from model responses to improve prompts automatically.Similar Models, Broken Odds: Where Luce's Axiom Fails in Chatbot Arena
Chatbot Arena ranks language models with the Bradley-Terry model, which gives each model one score and so assumes Luce's choice axiom.GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning
Constructing robust GUI agents relies on multimodal visual grounding: the ability to precisely map natural language intents to actionable on-screen components.Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have been widely applied in embodied agents and robotics for vision tasks.From Copying to Composition: How Language Models Develop In-Context Learning
In-context learning (ICL) allows language models to adapt their behavior from instructions and demonstrations in a prompt, but accuracy alone does not reveal how contextual information controls…DecisionRobust: Benchmarking Robustness for JEV Style Decision Models Across Text and Vision
Emerging decision models such as JEV provide typed interfaces that map task instructions and observations directly to choices, judgments, and scores.Unlocking Structured Pruning for Reasoning Language Models via Attention-Preserving MLP Trimming
Structured pruning reduces LLM inference costs by removing model components to produce smaller dense models.Plant Memory: Technical Language Processing and a Verified Maintenance Ontology for Agent-Accessible Failure Knowledge from SAP PM Work Orders
Maintenance work orders are the largest written record of how industrial equipment fails, yet in most plants they are close to unusable for analysis.CAFE: Confining Feature Distillation to Language-Routed Adapters for Compact Multilingual Automatic Speech Recognition
Feature distillation is usually expected to add to logit distillation.MA-Bench: Measuring Operational Planning in Language Models
How well can a language model turn a large, incomplete and partly contradictory body of documents into a plan when no single correct answer exists?DivAlgo: A systematic evaluation of algorithmic diversity for code generation models
Code generation models are actively being used in professional and educational settings.