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Newest papers, page 144
A persistent accuracy ceiling in automated verbal deception detection
Automated methods have been proposed to overcome the limitations of human verbal deception detection, but evidence remains fragmented across disciplines.Rehearse Everything, Remember Nothing: Attic-KV Rehearses What Will Be Read
Many key-value (KV) caches are compressed before anyone knows what will be asked of them: a document cached for retrieval, a prompt prefix shared across requests, the memory of a long conversation.Language-Specific Effects of Tokenizer Choice in Multilingual Language Models
Tokenizer choice affects multilingual language modeling, but vocabulary capacity is finite and vocabulary size is often constrained: improving representation for some languages often comes at the…When KL Regularization Misfires in Group Policy Optimization
Why does removing reference-policy KL regularization sometimes improve group policy optimization?SteerablePlex: Can We Steer Full-Duplex Models?
Full-duplex speech models can listen and speak simultaneously, enabling natural interaction, but become increasingly difficult to control as the conversation history grows.SciTBERT: A family of chronologically consistent language models for scientific and technological language processing
Pre-trained transformer models are increasingly being used to study scientific and technological progress.DiffuPlex: Accelerating Full-Duplex Spoken Dialog Models via Rolling Masked Diffusion
Recent full-duplex spoken dialog models enable simultaneous listening and speaking, but fine-grained models still advance their backbone autoregressively at every interaction frame.Language Models as AI Research World Models
AI research agents automate the cycle of proposing, implementing, and evaluating experiments, opening a path toward recursive self-improvement.TokenRouter: Efficient Serving System for Token-Level LLM Routing
Large language model (LLM) routing distributes inference work across different models, advancing the cost-quality Pareto frontier of LLM serving.NativeScope: Relation-Localized Retrieval over Native Topology with a Correct Anchor
Dense retrieval usually ranks text chunks by their semantic similarity to a question.EgoVoice: Proactive Spoken Assistance from Egocentric Multimodal Streams
Wearable augmented reality (AR) assistants are moving toward continuous real-world interaction, where they perceive the user's activity through first-person video and audio and provide timely spoken…HarnessSQL: Harness-Native Training for SQL Agents in Realistic Database Environments
Text-to-SQL models are commonly trained to map questions directly to static queries, whereas real-world database agents operate through stateful, multi-turn interaction with live databases --…Verdict Without the Rule: Diagnosing and Auditing Regulatory Rule Sensitivity in LLM Compliance Systems
Large language model compliance systems are deployed on the assumption that a verdict depends on the regulatory rule it is given.SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference
The memory-bound nature of the decoding stage of large language model (LLM) inference incurs significant latency.VFold: Symmetry-Aware Cross-Layer Value Cache Compression
While caching key-value (KV) states accelerates Large Language Model (LLM) decoding, this cache can dominate memory usage at long context lengths.Can AI Agents Learn Their Way to the Top? Evaluating Heuristic Learning in a Long-Running Game Agent Competition
Adversarial games have driven advances from heuristic search to reinforcement learning, yet learning and adapting strategies from limited samples remain challenging.Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution
Supervised fine-tuning (SFT) adapts pretrained large language models (LLMs) to downstream tasks, but the required concepts can receive substantially different levels of pretrained support.Accurate but Not Humble: Evaluating Epistemic Humility in LLM Agents under Knowledge Conflict
When retrieved evidence contradicts an agent's prior beliefs, does it revise its answer, acknowledge uncertainty, or persist with an incorrect conclusion?Cited but Not Consulted: A Counterfactual Audit of Legal Chain-of-Thought Faithfulness
Large language models increasingly justify legal decisions by naming the statute or precedent behind a verdict, treated as evidence that the decision follows from it.Which Skill to Distill? SGUID: Selecting a Compact Skill Bank for Model-Skill Co-Evolution
Skills, reusable procedural guidance added at inference, can substantially improve LLM downstream performance (Li et al., 2026).