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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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A Systematic Comparison of Search Space Complexity and Efficiency for Time-Synchronous End-to-End ASR Models
Search is a central component of Automatic Speech Recognition (ASR) systems and has been deeply investigated for classical ASR modeling based on Hidden Markov Models (HMMs).Memory-Aware Reward Modeling: Learning Human Preferences for LLM Memory Use
Memory enables language model assistants to maintain continuity across sessions and generate personalized responses, but knowing more about a user does not necessarily produce responses they prefer.CoWriter: Guiding Methodological and Synergetic Human-LLM Co-Authoring
While LLMs have transformed text generation, standard chat-and-canvas interfaces often reduce human authoring to quite passive supervision, causing review fatigue, over-reliance on AI, and the…The Value of Memory in Language Agents
Memory enables language agents to carry useful distinctions from past experience into future decisions.Cola2: Co-Adaptive Hierarchical Language Modeling with Continuous Semantic Compression and Balanced Discrete Generation
Hierarchical language generation separates continuous semantic modeling from discrete text realization, but its effectiveness depends on what the latent space compresses and how the discrete…When LLMs Forget What They Believe: Characterizing State Integrity Collapse in Long-Horizon Dialogues
Large language models can repeat an instruction while failing to keep obeying it.SurveyGraph: Generating Academic Surveys via Methods-Entity Knowledge Graphs
Most automated survey generation systems retrieve papers as flat documents, limiting their ability to capture research structure.CrisiLangs: A Multilingual Resource for Crisis Warning Generation
Communicating with the public during an emergency entails issuing warning messages promptly.AfterDeleteBench: Auditing Post-Deletion Information Persistence in LLM Agents
Many LLM agents maintain external persistent memory and derive additional state from past interactions, such as summaries.A Task-Centric Survey of Long-Document Visual Question Answering: Taxonomy, Evolution, and Future Directions
Visual document understanding is essential for acquiring knowledge from visually rich documents and is attracting growing research interest.Parameter-Efficient Adaptation of Large Language Models to a Low-Resource Agglutinative Language: A Corpus, Datasets, and a Reproducible Benchmark for the Bashkir Language
Bashkir is a low-resource agglutinative language written in Cyrillic and remains poorly represented in modern LLMs.HERD: Harness-Evolving Recursive Distillation for Continual Learning
Continual learning requires a model to keep acquiring new skills and knowledge without compromising its existing capabilities.Same Entity, Different Script: Diagnosing Cross-Script Entity Matching Failures in Language Models
Multilingual language models can give different identity judgments when the same people's names are written in different scripts.SQuAT: Spherical Lattice Vector Quantization-Aware Training
Vector quantization (VQ), in particular lattice-based methods, offer strong rate-distortion trade-offs for low-bit large language models (LLMs), yet their behavior under quantization-aware training…SyRA-CS: Synthetic-to-Real Adaptation for Code-Switched ASR with Meta-Learning
Code-switched (CS) automatic speech recognition (ASR) remains difficult because real CS speech is scarce and synthetic speech does not fully match it.How Depth Growth and Looping Shape In-Context Learning in Language Models
Looped and depth-grown language models reuse computations across depth and have attracted interest for their reasoning capabilities.How Well Do Decision Models Transfer to Vietnamese? An Empirical Study of Text Classification
Recent advances in specialized decision models have expanded the possibilities for zero-shot classification, yet their effectiveness on Vietnamese remains underexplored.Multi-Token Prediction and Alternative Tokenization Improve Learning Latent Multi-Hop Graph Search at Scale
Given an unseen graph, a start node, $s$, and an end node, $t$, can a language model generate the shortest path from $s$ to $t$?How Different, or Different How? Stance Granularity in Viewpoint Selection for Dialog Systems that Engage Users with Alternative Views
Systems that aim to help a user engage with viewpoints other than their own have to decide how different those viewpoints should be.From Structured Records to Patient Narratives: Preserving Clinical Alignment in LLM-Generated Health Summaries
As wearable and digital health systems increasingly generate longitudinal physiological records, communicating these observations in patient-accessible language remains a significant challenge.