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Computation & Language / NLP
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The newest 5,000 papers, from 18 September 2026 to 6 November 2026: 5,000 arXiv preprints.
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Newest papers, page 236
ThaiTrees: Thai Syntactic Dependency Trees Across Domains
Studying syntactic patterns in naturally occurring language requires a large parsed corpus, but manual annotation is costly and difficult to scale.Does Step Law Transfer to Small-Scale Language Models? An Empirical Recalibration Below 59M Parameters
Step Law gives power-law formulas for the optimal peak learning rate eta* and batch size B* when pre-training language models.MWE-ECL: Recoverable Long-Range Context Does Not Always Override Local Lexical Priors
Long-context evaluations often test whether a model can recover distant evidence, but recoverability does not guarantee behavioral influence.When Context Misleads: In-context Learning with Jurisdiction in Large Language Models
In-Context Learning (ICL) has become a cornerstone of modern LLM deployment.Can Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality
An AI-generated radiology report can resemble a physician's report while omitting an abnormality, adding an unsupported finding, or reversing its presence.Brain-to-Language Decoding: Tasks, Signals, Methods, Evaluation, Practical Use and Beyond
Brain-to-language decoding translates neural activity associated with language production, internal speech and perception into linguistic or expressive outputs.FLEET: From Logits Entropy to Enhanced Trajectories in Text Generation
Solutions based on large language models (LLMs) often rely on temperature sampling to improve accuracy and stability by aggregating multiple samples from the completion distribution.The Path Matters: Evaluating Small Language Models Beyond Answer Accuracy in KGQA
Small language models (SLMs) are increasingly paired with knowledge graphs (KGs), yet end-to-end KG question answering conflates graph access, search, navigation, reasoning, and answer generation.Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding
Contract inference requires multiple judgments about a shared document, but aggregate accuracy can conceal changes in the individual decisions.Consequential Behaviour and Representational Fairness in the Validation of Synthetic Research
Researchers in industry and academia use synthetic survey respondents powered by large language models as substitutes for human samples.SkillGym: Internalizing Human Skills into LLMs for Real-World Problem Solving
Human-written agent skills encode rich workflows for real-world problem solving, but are typically used as external inference-time instructions rather than internalized as reusable model capabilities.Evaluation of pre-trained models for pedagogical assessment of novel AI-assisted educational questions
The surge in AI-assisted generation of educational materials has outpaced our capacity to validate their pedagogical quality.Six Layers Less: Encoder Pruning for Whisper with Label-Free Recovery
Pruning large pre-trained transformer-based ASR models such as OpenAI's Whisper has seen great adoption, as pruning the decoder led to significant end-to-end transcription speedups.Risk-Controlled KV-Cache Eviction: From Memory Budgets to Risk Targets
KV-cache eviction is typically evaluated through average quality-memory trade-offs, yet a small average loss can hide requests whose utility degrades materially.Controlled Attribute-Specific Summarization of Interrogative Dialogues
Effective summarization of interrogative dialogues is a critical task in forensic and investigative settings, requiring high factual accuracy, coherence, and attribute-specific relevance.Evaluating Open-Weight LLMs for Turkish Domain Documents Under Retrieval and Hardware Constraints
Most Turkish-capable large language models (LLMs) are evaluated using general-purpose benchmarks rather than long, structurally complex domain documents.Evaluating Feedback Focus and Pedagogical Adaptivity in LLM-Generated Feedback on Student Writing
We investigate whether state-of-the-art large language models (LLMs) generate feedback that reflects the pedagogical practices of expert teachers in terms of feedback focus and adaptivity.Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison
The key-value (KV) cache of autoregressive transformers can be viewed as a fourth-order tensor spanning attention heads, tokens, features, and grouped layers.How Much Were You Told? Measuring External Information in Peer Reviews
Conference policies distinguish using Large Language Models (LLMs) to polish one's own review from delegating the critique, but current Artificial Text Detection (ATD) methods largely measure…TEMPS: Temporal Sentence Embeddings for Temporal Information Retrieval
Modern information retrieval (IR) systems rarely represent time, yet many information needs depend on it: in clinical, journalistic, and legal search, when an event occurred can decide whether a…