The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust - 惯性聚合

推荐订阅源

LINUX DO - 最新话题

博客园 - 叶小钗

酷壳 – CoolShell

奇客Solidot–传递最新科技情报

Recent Announcements

Full Disclosure

博客园_首页

Fortinet All Blogs

The Cloudflare Blog

The Blog of Author Tim Ferriss

Java Code Geeks

CERT Recently Published Vulnerability Notes

博客园 - 聂微东

aimingoo的专栏

LINUX DO - 热门话题

Attack and Defense Labs

Comments on: Blog

Hacker News: Ask HN

人人都是产品经理

Google Developers Blog

Hackread – Cybersecurity News, Data Breaches, AI and More

Security Affairs

Forbes - Security

博客园 - 司徒正美

宝玉的分享

cs.AI updates on arXiv.org

Microsoft Azure Blog

About on SuperTechFans

www.infosecurity-magazine.com

The Hacker News

大猫的无限游戏

cs.CL updates on arXiv.org

Indexing Multimodal Language Models for Large-scale Image Retrieval UI-Zoomer: Uncertainty-Driven Adaptive Zoom-In for GUI Grounding SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling PersonaVLM: Long-Term Personalized Multimodal LLMs MERRIN: A Benchmark for Multimodal Evidence Retrieval and Reasoning in Noisy Web Environments MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking Reward Design for Physical Reasoning in Vision-Language Models When 'YES' Meets 'BUT': Can Large Models Comprehend Contradictory Humor Through Comparative Reasoning? Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows Chain of Uncertain Rewards with Large Language Models for Reinforcement Learning (How) Learning Rates Regulate Catastrophic Overtraining Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning $\pi$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space A Domain-Specific Language for LLM-Driven Trigger Generation in Multimodal Data Collection The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage Lossless Prompt Compression via Dictionary-Encoding and In-Context Learning: Enabling Cost-Effective LLM Analysis of Repetitive Data Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks Better and Worse with Scale: How Contextual Entrainment Diverges with Model Size Functional Emotions or Situational Contexts? A Discriminating Test from the Mythos Preview System Card C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain Text-as-Signal: Quantitative Semantic Scoring with Embeddings, Logprobs, and Noise Reduction A Multi-Model Approach to English-Bangla Sentiment Classification of Government Mobile Banking App Reviews A Proactive EMR Assistant for Doctor-Patient Dialogue: Streaming ASR, Belief Stabilization, and Preliminary Controlled Evaluation Token Statistics Reveal Conversational Drift in Multi-turn LLM Interaction Mathematical Reasoning Enhanced LLM for Formula Derivation: A Case Study on Fiber NLI Modellin Red Skills or Blue Skills? A Dive Into Skills Published on ClawHub Correct Chains, Wrong Answers: Dissociating Reasoning from Output in LLM Logic Curation of a Palaeohispanic Dataset for Machine Learning EVE: A Domain-Specific LLM Framework for Earth Intelligence OmniTrace: A Unified Framework for Generation-Time Attribution in Omni-Modal LLMs DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs Document-tuning for robust alignment to animals Can Large Language Models Reliably Extract Physiology Index Values from Coronary Angiography Reports? IWLV-Ramayana: A Sarga-Aligned Parallel Corpus of Valmiki's Ramayana Across Indian Languages Unleashing Implicit Rewards: Prefix-Value Learning for Distribution-Level Optimization InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs L2D-Clinical: Learning to Defer for Adaptive Model Selection in Clinical Text Classification English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training Giving Voice to the Constitution: Low-Resource Text-to-Speech for Quechua and Spanish Using a Bilingual Legal Corpus AgentSPEX: An Agent SPecification and EXecution Language Peer-Predictive Self-Training for Language Model Reasoning TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning CANVAS: Continuity-Aware Narratives via Visual Agentic Storyboarding Using reasoning LLMs to extract SDOH events from clinical notes ToolSpec: Accelerating Tool Calling via Schema-Aware and Retrieval-Augmented Speculative Decoding Synthesizing Instruction-Tuning Datasets with Contrastive Decoding Debate to Align: Reliable Entity Alignment through Two-Stage Multi-Agent Debate Training-Free Test-Time Contrastive Learning for Large Language Models YOCO++: Enhancing YOCO with KV Residual Connections for Efficient LLM Inference MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning BenGER Platform: A Collaborative Web Platform for End-to-End Benchmarking of German Legal Tasks Foresight Optimization for Strategic Reasoning in Large Language Models Syn-TurnTurk: A Synthetic Dataset for Turn-Taking Prediction in Turkish Dialogues IndicDB -- Benchmarking Multilingual Text-to-SQL Capabilities in Indian Languages Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection Beyond Arrow's Impossibility: Fairness as an Emergent Property of Multi-Agent Collaboration Co-FactChecker: A Framework for Human-AI Collaborative Claim Verification Using Large Reasoning Models Learning the Cue or Learning the Word? Analyzing Generalization in Metaphor Detection for Verbs An Empirical Investigation of Practical LLM-as-a-Judge Improvement Techniques on RewardBench 2 Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations Self-Calibrating Language Models via Test-Time Discriminative Distillation HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation Generating High Quality Synthetic Data for Dutch Medical Conversations GIANTS: Generative Insight Anticipation from Scientific Literature Claim2Vec: Embedding Fact-Check Claims for Multilingual Similarity and Clustering Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling Should We be Pedantic About Reasoning Errors in Machine Translation? Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning Weird Generalization is Weirdly Brittle Computational Implementation of a Model of Category-Theoretic Metaphor Comprehension CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry CircuitSynth: Reliable Synthetic Data Generation Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification Nationality encoding in language model hidden states: Probing culturally differentiated representations in persona-conditioned academic text

The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust

[Submitted on 5 Jun 2026] · 2026-06-09 · via cs.CL updates on arXiv.org

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。原文来自 — 版权归原作者所有。