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 20
TAC-CoT: Tool-Empowered Implicit Chain-of-Thought via Interleaving Explicit Tokens
LLM-based agentic systems are increasingly combined with CoT reasoning to solve tasks that require accurate reasoning, external knowledge, and multi-step deliberation.Tracing How Language Models Integrate Temporal Anchors into Factual Recall
Factual recall in language models is typically framed as retrieving a factual association: a subject--relation pair maps to a single object.Towards Self-Evolving Narrative Systems: Real-Time Adaptation and Long-Term Optimization with LLMs
Traditional interactive narrative systems offer strong authorial control and structural coherence but often restrict player agency.Better Answers, Weaker Evidence Control: Evidence Bypass in On-Policy Distillation
On-policy distillation (OPD) can improve answer accuracy while weakening responsiveness to supporting evidence.TrackMem: Tracking Evolving Beliefs in Long-Horizon Financial Dialogue
Memory systems for LLM agents are evaluated mostly on social dialogue, where facts accumulate and rarely change, so remembering reduces largely to finding the turn in which something was said.To Align Long, Plan Short: Simulating Diverse Profile-Aligned Students by Realizing Short-Term Plans in Long-Horizon Learning Environments
Simulated students offer a scalable way to test learning platforms and AI tutors before deployment with real students and to augment scarce data for studying learning at scale.Retrieval-Enhanced Cultural Evaluation for Social Media Translation Training
Social media translation requires preserving meaning while capturing the cultural nuances of user-generated content (UGC).MedPsy: State-of-the-Art Small Medical Language Models for Efficient Edge Deployment
Medical language models promise expert clinical support, but the strongest open-source LLMs remain too large for private edge-device deployment, while compact medical models still trail…Scaling Makes It Possible: How Large Models Master Impossible Languages
While language models (LMs) excel in natural language tasks, their ability to learn impossible languages--those that violate the structural, cognitive, or logical constraints that make human…Switch-SWE: Do Coding Agents Hold Focus When Switching Between Unfinished Tasks?
Software development sessions often involve several unfinished tasks rather than one issue carried through to completion.CULTURE-CMT: Benchmarking Contextualized Social Media Translation
Social-media comments are interactions, yet they are often translated and evaluated as isolated text.ClickSight: An LLM Framework for Interpreting Student Clickstreams Through Learning Strategies
Digital learning environments produce rich clickstream data that can reveal how students approach learning tasks, yet interpreting these fine-grained traces often requires substantial expert effort.How Green Is Your Manifesto? Scoring Environmental Positions in the 2024 EU Elections with an LLM Panel
Locating political parties on environmental and climate policy is central to the study of party competition, yet the established instruments, expert surveys and the hand coding of manifestos, are…ParetoSaddler: Pareto-Guided Optimization of Agent Harnesses for Quality and Cost
Harness optimization can substantially improve LLM agents without modifying model weights, but existing methods primarily optimize response quality.Consolidating Reasoning with Test-Time Training
Effective multi-agent collaboration requires finalizing solutions from reasoning that is distributed across the individual attempts of many agents.Order-Only On-Policy Distillation
On-policy distillation (OPD) trains a student on its own generations by matching the teacher's token probabilities.Conditional Calibration Contracts under Coupled Load: A Branch-Aware Audit of Switched Inference
Bursty serving changes both queue states and the population selected for each model.FOLLIE: Automated Reasoning over the First Dataset of Sentences with their First-Order Logical Representation for French
FOLLIE (for First-Order Logic for Language Inference and Entailment for French) connects French sentences, compositional first-order representations and automated natural language inference (NLI).HaloGuard 2.0: An Open-Weights Constitutional Output Guard for Multilingual Response Safety
An input guard decides whether a request reaches the model, but never sees what the model says.GatedV: Self-Gated Values for Transformer Language Models
Standard attention forms query (Q), key (K), and value (V) matrices through learned linear projections of input hidden states.