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Computation & Language / NLP
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The newest 5,000 papers, from 17 September 2026 to 5 November 2026: 5,000 arXiv preprints.
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Newest papers, page 38
CAMR: Compatibility-Aware Memory Replay for Continual Learning in Large Language Models
Continual learning requires large language models to acquire new knowledge and capabilities while retaining what they have learned.DocSkill: Skill-Integrated Agentic Reasoning for Multilingual Multi-Hop Document Question Answering
Multilingual multi-hop document question answering (MMHop-DocQA) requires locating and integrating evidence across complex layouts, document pages, and diverse languages.Batching the Reflective Optimization Loop: Parallel Proposals Make GEPA Faster and Better
Reflective text optimization makes agentic systems better, but the optimization loop is itself a resource-hungry workload whose sequential structure leaves parallel evaluation capacity idle.Select-TTT: Query-Conditioned Selective Fast Weight Updates for In-Place Test-Time Training
Test-time training (TTT) enables a deployed language model to internalize incoming context on-the-fly into a small set of fast-weight parameters, rather than merely treating it as transient context…Language Models Keep Abandoned Analyses: Residue and Adaptation after Garden-Path Sentences
Reading "While the man hunted the deer ran into the woods" requires giving up the analysis in which "the deer" is the object of "hunted".API-TAIL: Detecting Model Substitution in LLM APIs through Temperature-Aligned Likelihood Tails
Commercial language model APIs return only text, allowing a provider to cut costs by quietly routing a fraction of user requests to a cheaper substitute model while billing for the advertised one.Personality Latents: Conditioning Frozen Language Models on Individuals from Their Own Writing
Controlling the personality of a language model usually relies on written profiles or named trait categories, so it can only express what an author writes down or what a taxonomy names.Latent Visual Contrastive Reasoning with Multi-Branch Exploration
Multimodal large language models have made substantial progress in visual question answering, but complex visual reasoning often requires locating and comparing multiple pieces of question-relevant…Weakness Localization Is Not Enough: State-Aware Recursive Knowledge Improvement for Large Language Models
Knowledge improvement in large language models is shifting from predefined knowledge incorporation pipelines toward evaluation-guided updating.Words or Deeds? How LLMs Predict Users' Decisions in Human-Agent Dialogue
Web systems increasingly predict users' decisions from what users say, yet when interests partly conflict, users may promise to cooperate to win the other side's cooperation and then not do so.AdaGround: Token-Normalized Adaptive Zooming with Verifier-in-the-Loop Refinement for GUI Grounding
GUI grounding on high-resolution screens fails mostly on small targets, and zooming in is a common training-free remedy.GUI-JEPA: Candidate-Conditioned JEPA Latents as a Fast Action Policy for Mobile GUI Agents
Mobile GUI agents are typically fine-tuned 7B-scale vision-language models (VLMs) that generate each action as text.RubricAtlas: Mining Type-Level Rubrics from Expert Reports to Evaluate Deep Research Agents
Deep research agents conduct multi-step Web searches and synthesise retrieved information into analytical reports.HiLo-RD: Cross-Budget Self-Distillation for Masked Diffusion Language Models
We propose HiLo-RD (High-to-Low Budget Representation Distillation) to improve masked diffusion language models (MDLMs) under a limited generation budget.Nothing Left Behind: Embedding Retrieval and Language Model Screening for High Recall Evidence Search
AI systems that ground their answers from retrieved documents usually need only a few relevant passages, but applications such as systematic reviews and legal discovery need nearly all of them…Developing a Speech Language Model for Basque
Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace.Do We Need an LLM to Know Why Sources Conflict? Decision Models for Knowledge-Conflict Typing in RAG
When the sources retrieved for a query disagree, the right response depends on why they disagree: a question with several valid answers, a contested topic, stale information and a false source each…TrawMem: Reframing Agent Memory as Task-Oriented Role-Adaptive Workspaces
Large language model (LLM) agents rely on memory systems to leverage long-term interactions, yet existing systems typically retrieve memories based on their relevance to the current query and use…DocXEval: A Systematic Evaluation of Explainability in Multimodal Document Understanding
Multimodal transformer models have driven unprecedented performance breakthroughs in modern document understanding.JevRec: Linguistic Encoding with Jev-like Decision Modeling for LLM-based Generative Recommendation
Generative recommendation (GR) represents items as semantic identifiers (SIDs) and autoregressively generates the next item's SID from interaction history.