3,694 items tracked: 32 reported by two or more outlets, the rest by a single source. Most-corroborated first.
arXiv:2610.10232v1 Announce Type: cross Abstract: Large language models (LLMs) have already been shown to match or exceed human experts in persuasion.
arXiv:2610.10235v1 Announce Type: cross Abstract: Fluid antenna systems (FASs) offer significant spatial flexibility, yet securing them against eavesdropping is critical for practical FAS deployment in military, satellit…
arXiv:2610.10241v1 Announce Type: cross Abstract: AI could change which parts of science impede progress.
arXiv:2610.10246v1 Announce Type: cross Abstract: Constant-step stochastic approximation generally has a nonzero stationary mean error that persists under time averaging.
arXiv:2610.10250v1 Announce Type: cross Abstract: We study minimum-variance control of an unknown autoregressive system with exogenous inputs and coefficients that change at unknown times.
arXiv:2610.10266v1 Announce Type: cross Abstract: Dense self-expression matrices and full-affinity spectral clustering limit the scalability of subspace clustering.
arXiv:2610.10324v1 Announce Type: cross Abstract: Pretrained models for cell and nuclear instance segmentation differ substantially in architecture, pretraining data and objectives, parameter count, inference strategy, a…
arXiv:2610.10345v1 Announce Type: cross Abstract: Fine-tuning-as-a-service enables users to adapt aligned large language models (LLMs) to specialized tasks, but malicious fine-tuning can erode refusal behavior while pres…
arXiv:2610.10374v1 Announce Type: cross Abstract: A key challenge for multimodal large language models (MLLMs) is moving beyond visual recognition to constraint-aware cross-modal reasoning.
arXiv:2610.10455v2 Announce Type: replace-cross Abstract: Hallucinated information can propagate through multi-stage LLM systems and become part of the context for subsequent reasoning.
arXiv:2610.10463v1 Announce Type: cross Abstract: AI learning tools are rapidly entering classrooms, but evidence about whether they help students learn is mixed and rests mostly on test scores.
arXiv:2610.10536v1 Announce Type: cross Abstract: Modern language models undergo reinforcement learning with verifiable rewards (RLVR) on top of already-trained checkpoints.
arXiv:2610.10538v1 Announce Type: cross Abstract: As we move through the world and carry out everyday tasks, we encounter objects that may become relevant only later.
arXiv:2407.18994v2 Announce Type: replace Abstract: We consider the automatic online synthesis of black-box test cases from functional requirements specified as automata for reactive implementations.
arXiv:2601.14295v5 Announce Type: replace Abstract: Large language models increasingly function as artificial reasoners: they evaluate arguments, assign credibility, and express confidence.
arXiv:2603.11938v2 Announce Type: replace Abstract: Structured radiology reporting promises faster, more consistent communication than free text, but automation remains difficult as models must make many fine-grained, di…
arXiv:2603.18189v2 Announce Type: replace Abstract: Higher education instructors often lack timely and pedagogically grounded support, as scalable instructional guidance remains limited and existing tools rely on generic…
arXiv:2604.07652v2 Announce Type: replace Abstract: What-if analysis (WIA) lets users explore hypothetical scenarios by adjusting parameters, applying constraints, and scoping data through interactive interfaces.
arXiv:2604.08295v4 Announce Type: replace Abstract: As AI models grow more complex, explainability is essential for building trust, yet concept-based counterfactual methods still face a trade-off between expressivity and…
arXiv:2605.19376v3 Announce Type: replace Abstract: How should future neural reasoning systems implement extended computation?
arXiv:2605.25554v2 Announce Type: replace Abstract: As a core task in intelligent transportation systems, traffic forecasting plays a critical role in urban traffic management.
arXiv:2606.08849v2 Announce Type: replace Abstract: Urban public transport disruptions require rapid response strategies, yet existing studies rarely provide a decision support framework to compare alternative disruption…
arXiv:2606.22327v3 Announce Type: replace Abstract: The rapid growth of interactive Large Language Model serving has made efficient management of dynamic Key-Value cache footprints increasingly important for inference pe…
arXiv:2607.16421v2 Announce Type: replace Abstract: It has long been recognized that humans have the ability to switch between fast, reactive decision-making and slower, deliberative planning.
arXiv:2609.00264v2 Announce Type: replace Abstract: Chain-of-thought monitoring is proposed for AI oversight, yet evaluations often provide monitors with a trusted reference answer.
arXiv:2406.10741v2 Announce Type: replace-cross Abstract: The process of identifying human emotion and affective states from speech is known as speech emotion recognition (SER).
arXiv:2410.11687v4 Announce Type: replace-cross Abstract: In-context learning lets a sequence model adapt to a new task from examples in its input.
arXiv:2505.12224v5 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) models have recently advanced robotic manipulation by translating natural-language instructions and visual observations into control…
arXiv:2506.09354v5 Announce Type: replace-cross Abstract: Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support.
arXiv:2509.00141v2 Announce Type: replace-cross Abstract: Statutory corpora and judicial decisions are growing faster than legal professionals can read them, while individual judgments often exceed the context limits of…
arXiv:2510.00154v2 Announce Type: replace-cross Abstract: Despite rapid progress in robotics, complex or long-horizon tasks remain a fundamental challenge.
arXiv:2601.20250v2 Announce Type: replace-cross Abstract: Recently, flow-based generative models have shown superior efficiency compared to diffusion models.
arXiv:2602.00931v3 Announce Type: replace-cross Abstract: Large language model reasoning is often treated as a monolithic capability, relying on binary preference supervision that fails to capture partial progress or fin…
arXiv:2602.03317v2 Announce Type: replace-cross Abstract: Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interpretable pathology biomarkers by estimating biophysical tissue…
arXiv:2602.04892v2 Announce Type: replace-cross Abstract: Ensuring that API implementations and usage comply with natural language programming rules is critical for software correctness, security, and reliability.
arXiv:2602.06317v3 Announce Type: replace-cross Abstract: Attention-mass concentration creates an opportunity for sparse decoding, but retained mass alone does not guarantee a stable greedy decision: retrieval error, omi…
arXiv:2602.07144v3 Announce Type: replace-cross Abstract: Bayesian optimization (BO) is a popular technique for sample-efficient optimization of black-box functions.
arXiv:2602.10137v2 Announce Type: replace-cross Abstract: This work proposes MeCSAFNet, a multi-branch encoder-decoder architecture for land cover segmentation in multispectral imagery.
arXiv:2602.20119v2 Announce Type: replace-cross Abstract: Solving complex long-horizon robotic tasks requires joint reasoning over abstract task structure and low-level physical interaction.
arXiv:2603.06655v2 Announce Type: replace-cross Abstract: We introduce FCBNet, an efficient model designed for camouflaged weed detection.
arXiv:2603.13357v2 Announce Type: replace-cross Abstract: Bi-CamoDiffusion is introduced, an evolution of the CamoDiffusion framework for camouflaged object detection.
arXiv:2604.01989v4 Announce Type: replace-cross Abstract: While multimodal large language models demonstrate strong entity-level perception, faithfully grounding relational interactions between objects remains a persiste…
arXiv:2604.03315v2 Announce Type: replace-cross Abstract: Storyboarding is a core skill in visual storytelling for film, animation, and games.
arXiv:2604.17805v5 Announce Type: replace-cross Abstract: Maximum-likelihood pairwise ranking is a com- mon computational mechanism for prioritization, reputation estimation, and comparison-driven decision support.
arXiv:2605.00556v2 Announce Type: replace-cross Abstract: Partial driving automation creates a tension: drivers remain legally responsible while being less active in control.
arXiv:2605.01616v3 Announce Type: replace-cross Abstract: Human behavior is difficult to observe continuously at scale, yet it leaves measurable traces in everyday device use.
arXiv:2605.02003v3 Announce Type: replace-cross Abstract: Machine Learning (ML) has transformed many scientific fields, yet key applications still lack standardized benchmarks.
arXiv:2605.06295v2 Announce Type: replace-cross Abstract: How can an arbitrary attribution method be generalized from first principles to capture interactions?
arXiv:2605.07943v2 Announce Type: replace-cross Abstract: Active vision -- where a policy controls its own gaze during manipulation -- has emerged as a key capability for imitation learning, with multiple independent sys…
arXiv:2605.27388v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as proxies for computational social analysis, yet faithfully representing the "thick descriptions" (Geertz, 197…