CompanyAnthropic8 recent entries12 Aug 2026VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback?arXiv:2608.10408v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown strong capabilities in generating visualization code from textual or visual specifications. However, real-world→12 Aug 2026Situation Graph Prediction for User Perspective ModelingarXiv:2602.13319v2 Announce Type: replace Abstract: Perspective-aware AI requires modeling evolving internal states---goals, emotions, contexts---not merely preferences. Progress is limited by a data
CompanyOpenAI8 recent entries11 Aug 2026How to Ask the AI: A User Perspective Survey for Large Language Model PromptingarXiv:2608.07494v1 Announce Type: cross Abstract: AI tools like ChatGPT and DeepSeek, powered by Large Language Models (LLMs), allow users to obtain instant and effective content responses simply by t→11 Aug 2026From Evaluated Models to Evaluation Aids: A Multi-Evidence Study of LLM-Based Difficulty Calibration for Programming ExaminationsarXiv:2608.07523v1 Announce Type: cross Abstract: Difficulty differences across parallel-class programming examinations affect the fairness of course assessment. This study repositions large language →11 Aug 2026DevIntent: How Much Does LLM-Generated Code Violate Developer Intent?arXiv:2608.07614v1 Announce Type: cross Abstract: Code generated by LLMs can violate a developer's implicit intentions when given an ambiguous prompt, yet standard benchmarks measure only whether code→11 Aug 2026Curriculum Generation under Structured Parametric Environments for Robust Navigation PoliciesarXiv:2608.08545v1 Announce Type: cross Abstract: Robust navigation policies for autonomous agents must generalize across continuously varying environmental conditions such as turn rates, obstacles, f→11 Aug 2026AquiLLM: An Architecture for Supporting Tacit Knowledge Capture in Research GroupsarXiv:2608.08883v1 Announce Type: new Abstract: Recent advances in retrieval-augmented generation (RAG) and large language models (LLMs) enable researchers to integrate AI into scientific workflows. H→11 Aug 2026An Expectation-Maximization Perspective on Reinforcement Learning for LLM ReasoningarXiv:2504.18587v2 Announce Type: replace-cross Abstract: Reinforcement learning has emerged as a powerful approach for improving the reasoning capabilities of large language models, as demonstrated b→12 Aug 2026Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective RefinementarXiv:2608.10725v1 Announce Type: new Abstract: Large language models (LLMs) often rely on shortcuts rather than systematic reasoning, raising safety concerns in medical applications. Allowing models →12 Aug 2026Longitudinal Evidence That General-Purpose Chatbots Actively Foster Relational EngagementarXiv:2608.10672v1 Announce Type: cross Abstract: Social interaction has become one of the most common uses of LLMs, yet research on emotional bonds with AI has focused largely on how users experience
CompanyGoogle8 recent entries11 Aug 2026Can Open-Weight Models Compete on Financial Text Comprehension?arXiv:2608.08634v1 Announce Type: new Abstract: Open-weight language models from Chinese AI labs caught up on benchmarks relative to proprietary frontier models in recent months. Yet their reliability→11 Aug 2026BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and MitigationarXiv:2604.03159v2 Announce Type: replace-cross Abstract: Large language models with web search are increasingly used in scientific publishing agents, yet they produce BibTeX entries with pervasive fi→11 Aug 2026Automating Deception: Scalable Multi-Turn LLM JailbreaksarXiv:2511.19517v3 Announce Type: replace-cross Abstract: Multi-turn conversational attacks, which leverage psychological principles like Foot-in-the-Door (FITD), where a small initial request paves t→11 Aug 2026An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus PhotographyarXiv:2608.07651v1 Announce Type: new Abstract: Large language models (LLMs) show promise in medical image interpretation but suffer from hallucination, limited accuracy, and run-to-run inconsistency.→11 Aug 2026360CityArena: A Realistic Virtual Urban Navigation Benchmark for Embodied AgentsarXiv:2608.08814v1 Announce Type: cross Abstract: We present 360CityArena, a benchmark for evaluating the urban exploration capabilities of embodied agents within a photorealistic environment construc→12 Aug 2026Situation Graph Prediction for User Perspective ModelingarXiv:2602.13319v2 Announce Type: replace Abstract: Perspective-aware AI requires modeling evolving internal states---goals, emotions, contexts---not merely preferences. Progress is limited by a data →12 Aug 2026Reference-Free Post-Training of Open Large Language Models for Multilingual Machine TranslationarXiv:2608.10812v1 Announce Type: cross Abstract: We study reference-free post-training for multilingual machine translation with open large language models. Starting from the supervised-finetuned MiL→12 Aug 2026Navigation Alone Is Not Enough: Evaluating Explanatory Assistive UI AgentsarXiv:2608.09944v1 Announce Type: cross Abstract: Modern web interfaces are increasingly difficult to use with screen readers, particularly when pages update dynamically or hide important structure be
CompanyMeta8 recent entries12 Aug 2026Measuring Semantic Abstractness of SAE Features via NonlocalityarXiv:2608.10537v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have helped uncover mechanistic explanations for LLM behaviours such as reasoning, jailbreaking etc., via understanding the c→12 Aug 2026Interpreting Language Model Hidden States at ScalearXiv:2608.10260v1 Announce Type: new Abstract: Lens methods interpret large language models (LLMs) by mapping intermediate activations to the output vocabulary, revealing how next-token predictions d→12 Aug 2026Eleven Years of BRACIS: A Meta-Scientific Study of the Brazilian Conference on Intelligent SystemsarXiv:2608.09964v1 Announce Type: cross Abstract: The Brazilian Conference on Intelligent Systems (BRACIS) is the main national venue for Artificial Intelligence research in Brazil, hosted by the Braz→12 Aug 2026Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog FaithfulnessarXiv:2608.10008v1 Announce Type: cross Abstract: LLM recommenders for top-K item suggestion regularly emit titles outside the target catalog. Prior audits measure this as a binary out-of-domain rate;→12 Aug 2026Cracks in the Foundation: Seemingly Minor Architectural Choices Impact Long Context ExtensionarXiv:2608.10296v1 Announce Type: new Abstract: One might imagine that architectural variations within the dense transformer paradigm have a limited effect on accuracy. However, we demonstrate that th→12 Aug 2026Behavioral Inference at Scale: The Fundamental Asymmetry Between Motivations and Belief SystemsarXiv:2509.05624v3 Announce Type: replace-cross Abstract: How much information about an agent's underlying values can be recovered from its observable behavior? This question matters for any approach →12 Aug 2026Astrolabe: Balancing Load in LLM Serving with Randomized Prediction-Guided SchedulingarXiv:2508.03611v3 Announce Type: replace-cross Abstract: This paper presents Astrolabe, a randomized prediction-guided scheduler for one-shot request dispatch in multi-instance large language model (→12 Aug 2026Actionable Hallucination Detection: Translating Latent Uncertainty into Agentic CritiquearXiv:2608.10430v1 Announce Type: cross Abstract: Large Language Models (LLMs) deployed as AI agents frequently exhibit user specification-grounding failures, executing hallucinated, undesired actions
CompanyMistral8 recent entries11 Aug 2026KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMsarXiv:2608.09779v1 Announce Type: cross Abstract: Answering complex conditional questions using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) remains a challenge, particularly →11 Aug 2026High-Layer Attention Pruning with RescalingarXiv:2507.01900v3 Announce Type: replace Abstract: Pruning is a highly effective approach for compressing large language models (LLMs), significantly reducing inference latency. However, conventional→11 Aug 2026Do All LLMs Know When They're Being Harmful? A Reproducibility Study of Latent-Space Safety Probes Across Model FamiliesarXiv:2608.08029v1 Announce Type: cross Abstract: Khatri et al. (2026) [DOI: 10.1109/DSN-W70714.2026.00027] show that lightweight MLP probes on final-layer activations of a single 8B model (LLaMA-3.1-→11 Aug 2026DistillCache: KL-Guided Adaptive KV-Cache Eviction for Memory-Efficient LLM InferencearXiv:2608.08878v1 Announce Type: cross Abstract: Transformer-based large language models (LLMs) achieve strong performance across many tasks, but their Key-Value (KV) cache grows linearly with sequen→11 Aug 2026Can Open-Weight Models Compete on Financial Text Comprehension?arXiv:2608.08634v1 Announce Type: new Abstract: Open-weight language models from Chinese AI labs caught up on benchmarks relative to proprietary frontier models in recent months. Yet their reliability→12 Aug 2026The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model LineagesarXiv:2606.15821v2 Announce Type: replace-cross Abstract: Recent advances in large language models (LLMs) have produced many specialized multimodal LLMs (MLLMs) that share common foundational LLMs, fo→12 Aug 2026REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMsarXiv:2608.10963v1 Announce Type: new Abstract: We present the REAP system for the AKBC Shared Task 2026 on constructing knowledge bases from language models in a closed-book setting, subject to a bud→12 Aug 2026Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog FaithfulnessarXiv:2608.10008v1 Announce Type: cross Abstract: LLM recommenders for top-K item suggestion regularly emit titles outside the target catalog. Prior audits measure this as a binary out-of-domain rate;
CompanyxAI8 recent entries11 Aug 2026Harmful Content Is Not Enough: Continuation Framing Moderates In-Context Emergent MisalignmentarXiv:2608.08212v1 Announce Type: new Abstract: In-context learning (ICL) can induce emergent misalignment (EM), where narrow misaligned examples alter answers to unrelated questions. Existing prompts→11 Aug 2026Bounding Hallucinations: Merlin-Arthur Protocols for Mutual-Information Bounds in Language ModelsarXiv:2512.11614v3 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) relies on retrieved context to guide large language models (LLM), yet treats the retrieval as a heuristic→12 Aug 2026The Epistemic Politics of AI AnthropomorphismarXiv:2608.00961v2 Announce Type: replace-cross Abstract: AI anthropomorphism is typically treated as a problem of user misperception requiring institutional correction. Users who engage in sustained →12 Aug 2026Rule of Thumb: Explaining Artificial Intelligence Systems using Partial InformationarXiv:2608.10766v1 Announce Type: new Abstract: Explainable Artificial Intelligence (XAI) seeks to explain how an Artificial Intelligence (AI) system arrived at a particular decision. We propose ''Rul→12 Aug 2026Entropy-Centric Explainable AI for Remote Sensing Image SegmentationarXiv:2608.11064v1 Announce Type: cross Abstract: Artificial intelligence (AI) has become a powerful approach to solving complex problems in critical domains. Many concerns arise regarding the decisio→12 Aug 2026Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human UnderstandingarXiv:2603.25251v2 Announce Type: replace-cross Abstract: Explainable AI (XAI) methods are commonly evaluated using functional correctness metrics, sometimes termed faithfulness or fidelity, which est→12 Aug 2026Conversational versus Dashboard Explainable AI for UAV Intrusion Detection: An Empirical Study of Operator Trust and ReliancearXiv:2608.10434v1 Announce Type: new Abstract: Machine learning-based Intrusion Detection Systems (IDS) have demonstrated superior performance in securing Unmanned Aerial Vehicle (UAV) networks. Howe→12 Aug 2026BREAD: Baseline-Referenced Explanations for Anomaly DiagnosisarXiv:2608.10587v1 Announce Type: new Abstract: Artificial Intelligence (AI)-based prospective anomaly detection methods are increasingly deployed in high-dimensional and nonlinear settings. Among the
CompanyDeepSeek8 recent entries11 Aug 2026Beyond Routing: Decoupling Expert Dispatch and Aggregation in Sparse Mixture-of-ExpertsarXiv:2608.08853v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) routers commonly use the same scores both to select experts and to weight their already-computed outputs. We study wheth→11 Aug 2026Automated Generation of Complexity-Validated Decision Scenarios Using Large Language ModelsarXiv:2608.08822v1 Announce Type: new Abstract: Cognitive decision-making research depends on diverse scenarios with carefully controlled complexity, yet manual production is slow, inconsistent, and b→11 Aug 2026An Expectation-Maximization Perspective on Reinforcement Learning for LLM ReasoningarXiv:2504.18587v2 Announce Type: replace-cross Abstract: Reinforcement learning has emerged as a powerful approach for improving the reasoning capabilities of large language models, as demonstrated b→11 Aug 2026Adversarial Attacks on Deep OCR SystemsarXiv:2608.07636v1 Announce Type: cross Abstract: Deep-OCR (DeepSeek-OCR) advances document recognition by treating the visual modality as an optical compression medium, enabling long-context OCR at l→12 Aug 2026Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective RefinementarXiv:2608.10725v1 Announce Type: new Abstract: Large language models (LLMs) often rely on shortcuts rather than systematic reasoning, raising safety concerns in medical applications. Allowing models →12 Aug 2026Persistent Recursive Worlds Enable Autonomous Software EvolutionarXiv:2608.10450v1 Announce Type: cross Abstract: Complex software systems develop over timescales that exceed the lifespan of any individual coding agent. Most agentic software systems preserve conti→12 Aug 2026Measuring Semantic Abstractness of SAE Features via NonlocalityarXiv:2608.10537v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have helped uncover mechanistic explanations for LLM behaviours such as reasoning, jailbreaking etc., via understanding the c→12 Aug 2026CHORUS: Complementary Experts for High-Coverage Testbench Stimulus GenerationarXiv:2608.10090v1 Announce Type: new Abstract: Large language models (LLMs) have advanced code generation, where executable feedback provides a more reliable learning signal than textual imitation al
CompanyNVIDIA8 recent entries11 Aug 2026LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICsarXiv:2608.07733v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) are widely used across domains such as natural sciences, social network analysis, chip design, and recommendation systems→11 Aug 2026Governing the KV Cache: Preventing Timing Side-Channel Leakage in Multi-Tenant LLM InferencearXiv:2608.09225v1 Announce Type: cross Abstract: The key-value (KV) cache is the primary throughput optimization in modern large language model (LLM) inference, enabling prefix reuse across requests.→11 Aug 2026FlashRT: Agent Harness for Guiding Agents to Deploy Real-Time Multimodal ApplicationsarXiv:2607.18171v2 Announce Type: replace Abstract: Real-time multimodal applications, including voice agents and interactive video generation, compose heterogeneous models into pipelines whose effici→11 Aug 2026City Sentinel: A Unified AI-Based Smart Surveillance Framework for Real-Time Multi-Threat Detection Using Deep LearningarXiv:2608.08887v1 Announce Type: new Abstract: Rapid urbanization has increased the need for surveillance systems that can monitor multiple public safety risks at the same time. Traditional systems o→11 Aug 2026AraSSM: A bidirectional state-space encoder for Arabic masked language modelingarXiv:2608.08256v1 Announce Type: new Abstract: Pretrained Transformer encoders such as AraBERT, MARBERT, and CAMeLBERT have become the standard backbone for Arabic natural language understanding, but→11 Aug 2026Aero Realtime: Fully Aligned Input-Output Streams for Low-Latency Streaming Multimodal GenerationarXiv:2608.08469v1 Announce Type: new Abstract: Existing streaming multimodal models process observations incrementally but still follow a turn-based prefill-then-decode pattern, making them non-duple→12 Aug 2026Persona Conditioning as an Assessor-Sensitivity Probe for LLM-Based IR EvaluationarXiv:2608.10385v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as relevance assessors in information retrieval (IR) evaluation, raising questions about how assess→12 Aug 2026HyWA: Architecture-Preserving Personalized Voice Activity Detection for Full-Duplex Voice AssistantsarXiv:2510.12947v3 Announce Type: replace-cross Abstract: Voice activity detection (VAD) serves as an early gate in voice-assistant pipelines for smart devices. Because conventional VADs respond to sp