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Newest papers, page 239
Matryoshka attribution: Learning to attribute language model outputs to representations and weights
Attributing language model outputs to their internal computations is an open problem in interpretability.Compressing Long Context into Answer-Aligned Memory Embeddings for LLM Inference
Large language model (LLM) inference is constrained by the quadratic scaling of self-attention and the linear scaling of the KV cache, increasing latency, energy consumption, and GPU memory demand…Rewired or Gated? How Instruction Tuning Shapes Knowledge-Conflict Circuits in LLMs
In language models, the choice between believing the prompt and believing the weights is made by a handful of identifiable attention heads.Qwen3.8-Omni: Towards Native Omni-Modal Agents
We introduce Qwen3.8-Omni-Flash, a natively multimodal agentic model for real-world multimodal productivity.Efficient Cost-Aware LLM Evaluation via Bayesian Bandit Gittins Indices
Exhaustively evaluating every candidate LLM configuration on every benchmark item to identify a high-performing one is costly.From Utterances to Networks: Modelling Slang Adoption and Diffusion Across Subreddits
Adoption and diffusion of neologisms in online communities have received renewed attention in recent years.How Strongly Should Task State Influence an LLM Agent?
Long-horizon assigned work requires an LLM agent to track the state of a task: which steps are done, blocked, cancelled, or open to repetition.Slow Decay and Silenced Expression: Iterated Subliminal Trait Transfer in Language-Model Lineages
Language models are increasingly trained on the outputs of other models, forming chains that we call lineages, in which a trait present in one generation can pass to the next.Syndrome, Synergy, and Safety: Structured Reasoning and Knowledge-Driven Alignment for TCM Prescription Generation
Applying large language models to Traditional Chinese Medicine (TCM) prescription generation reveals three clinically critical gaps: models produce end-to-end mappings without auditable reasoning…Reply to comments arXiv:2512.07881 and arXiv:2601.06104 on quantum structure in human and AI-generated language
We reply to the comments by M. Sienicki and K. Sienicki (arXiv:2512.07881) and by K. Sienicki (arXiv:2601.06104) on our work on quantum-mechanical statistics in human language (arXiv:2407.14924) and…Latest Exact Match Attention
We introduce latest exact match attention (LEMA), an attention variant for transformers where queries and keys are binarized and each query attends only to the latest exactly matching key.Auditing Proxy-Based Validation Across Text Spans
Evaluation scores are often validated by their agreement with inexpensive proxy labels.ARAFA: An LLM-Generated Arabic Fact-Checking Dataset
Automatic fact-checking poses a significant challenge in Arabic natural language processing due to the scarcity of datasets and resources.MemoryAthena: Adaptive Routing over Latent and Generated Memories
Learned-memory methods store information in an explicit table and consume it through a separate reader, allowing addressing, storage, and reading to be modified independently.BELXTR: Biomedical Entity Linking via Contextualized Token Retrieval
Biomedical Entity Linking disambiguates mentions to entities in a knowledge base (KB), making it the cornerstone of information extraction pipelines.Isolated Sign Language Recognition for Icelandic Sign Language: Experiments in a Low-resource Setting
We present the first experiments on isolated sign language recognition (ISLR) for Icelandic Sign Language (ÍTM).Rethinking Length-Based Training: Batch Composition and Loss Normalization in Speech Token Language Models
Short-to-long training is a simple curriculum for speech models, but its gains can be difficult to interpret.Informed Masking: Structure-Aware Perturbation for Reinforcement Learning in Diffusion Large Language Models
Diffusion Large Language Models (dLLMs) have emerged as an efficient alternative to autoregressive models, yet aligning them via Reinforcement Learning (RL) requires likelihood surrogates estimated…Certified Against Which Oracle? Execution Labels Set the Reported Risk of Conformal Abstention for Text-to-SQL
A conformal abstention certificate for text-to-SQL is only as truthful as the correctness labels it is calibrated on.ClusterFewshot: Improving Few-shot Optimization for LLMs workflow
The performance of large language model (LLM) workflows often depends on selecting a small set of in-context demonstrations to guide model behavior on new tasks.