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Newest papers, page 167
Closing Ambient Clinical Documentation Gaps with Automated Provider Queries
Provider queries are clarifying requests sent by clinical documentation specialists to physicians to close gaps in the clinical note and ensure accurate billing.On Open-Ended Information Seeking for Information Elicitation Agents
Information elicitation is an open-ended information-seeking problem in which an interaction can unfold in many potentially valuable directions, requiring an elicitor to continually determine which…Not What a Child Expressed: Auditing the Sign-to-Text Safety Interface in Child-Facing AI
Automatic sign language translation (SLT) has entered consumer products, turning American Sign Language into English text for dictation, messaging, and queries put to a conversational assistant.Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge
LLMs have advanced rapidly, raising growing concerns about their safety.LRCC: Generalizing Low-Rank Compression with Conditional Computation
Low-rank compression reduces the cost of pretrained language models by replacing linear transformations with low-rank factorizations.Agent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications
AI agents based on foundation models (FMs) have demonstrated strong capabilities to perform complex open-ended tasks.Viva La Vida: Verification and Accumulation Failures in Multi-Agent Proof Search
When an agentic prover works on an open problem, there is no proof assistant to fall back on: its verifier and lemma library are ultimately language models judging model outputs.Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning
Self-supervised fine-tuning refines the embedding space of a pretrained language encoder without labels.CURIO: Curiosity-Driven Test-Time Learning for Open-Ended Discovery
Open-ended discovery requires learning from repeated attempts while continuing to explore directions whose value is not yet apparent.SpecFold: Folding Multi-Branch Redundancy for Faster Speculative Decoding in Diffusion Language Models
Diffusion large language models (DLLMs) generate text through iterative block denoising, and multi-branch speculative decoding accelerates this process by verifying a main branch together with…No Hindsight for LLM Fact-Checkers: Measuring Leakage Channels in Misinformation Detection
As automated fact-checking scales on social media, large language model (LLM) verdict scores can look stronger than warranted.A Systematic Analysis of the Predictive Power of LM Surprisal in Reading Chinese
This study analyzes the predictive power of LM-derived, token-level surprisal on Mandarin Chinese reading times.Rewrite What Matters: Adaptive Multilingual Query Rewriting for Reasoning via Agentic Reinforcement Learning
In multilingual scenarios, queries with equivalent semantics but in different languages could guide the model into different reasoning trajectories, leading to performance disparities.Scaling Verifiable Environments for Long-horizon Work Agents
Work agents operate over digital artifacts to execute professional knowledge-intensive work, requiring training environments that support long-horizon interaction and trustworthy verification.Monitorability Disposition in Large Reasoning Models
Monitoring the chain-of-thought (CoT) of large reasoning models (LRMs) is a common way to detect misbehavior in real-world practice.Residual Visual Credit Optimization: Conserved Evidence Routing for Multimodal Reinforcement Learning
Reinforcement learning with verifiable rewards scales multimodal reasoning, but an outcome reward says how much a trajectory is worth, not how that value should be spread over the decisions that…From Overloaded to Guaranteed: High-Throughput Multi-SLO Enforcement for LoRA-Assisted On-Premise LLM Deployment
As Large Language Models (LLMs) become essential in privacy-sensitive sectors like hospitals and government agencies, the on-premise LLM servers offer a cost-effective and secure alternative to…Building LLM Agent Systems the Deep Learning Way: From Modular Design to Architecture Search
Large Language Models (LLMs) have revolutionized AI research and enabled exciting agent systems.One Token Can Be Enough: Bridging Prompting and Activation Steering with Prefix Steering
Prompting guides language model behavior through the initial context, whereas activation steering often intervenes throughout generation.TrajLong: Co-Designing Agentic and Long-Context Supervision for Mid-Training
LLM agents for coding, search, and workplace tasks increasingly rely on long-context capabilities to effectively aggregate and reason over extended interaction histories.