arXiv AI
Aug 14
INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification
arXiv:2605. 20088v2 Announce Type: replace-cross Abstract: Discovering shapelets -- i.
Benchmarks and evaluation
Leaderboards, eval harnesses and ablations — the contested business of deciding which model is actually better.
arXiv AI
Aug 14
PROVE-RT: Generating Mechanized Theorem Prover Scripts for Real-Time Systems using LLMs
arXiv:2608. 12762v1 Announce Type: new Abstract: Schedulability analysis is essential for certifying real-time systems, but existing tests are often developed through pen-and-paper proofs that are difficult to scale, validate, and maintain.
arXiv AI
Aug 14
What Drives LLM Self-Reflection? A Controlled Ablation of Uncertainty Routing in Armed Conflict Forecasting
arXiv:2608. 12322v1 Announce Type: cross Abstract: Self-reflection is widely assumed to improve LLM reasoning, yet which component drives the gain remains poorly understood.
arXiv AI
Aug 14
CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical Narratives
arXiv:2608. 12779v1 Announce Type: cross Abstract: Understanding the temporal progression of symptoms in clinical narratives is critical for disease monitoring, safety surveillance, and causality assessment.
arXiv AI
Aug 14
REHEARSE: Experiential Rehearsal for Verbal Confidence Calibration in Large Language Models
arXiv:2508. 14390v2 Announce Type: replace-cross Abstract: Large language models (LLMs) often express verbal confidence that is poorly aligned with actual correctness, limiting their reliability in safety-critical applications.
arXiv AI
Aug 14
Toward a Gricean Retreat: Probing LLMs for Knowledge Boundaries and Referent Specificity
arXiv:2608. 13484v1 Announce Type: cross Abstract: When asked about entities outside their knowledge boundary, LLMs routinely fabricate plausible-sounding details rather than backing off to safer, more general claims.
arXiv AI
Aug 14
SkillShapley: Boundary-Adaptive Shapley Valuation for Skill Step Attribution in LLM Agents
arXiv:2608. 13173v1 Announce Type: new Abstract: Agent skills are crucial external instructions that enable language agents to execute long procedural tasks such as coding or document processing.
arXiv AI
Aug 14
FluctlightDB: A Memory Model of Data for AI Agents
arXiv:2608. 12365v1 Announce Type: cross Abstract: For fifty years, data systems have answered two questions.
arXiv AI
Aug 14
How Do VLMs Behave When Blind or Misled? Behavioral Evaluation of VLMs on Scientific Figures
arXiv:2608. 13267v1 Announce Type: cross Abstract: Existing vision-language model (VLM) benchmarks emphasize perception and reasoning accuracy (how well VLMs describe and reason about what they see in an image), with limited attention to behavioral reliability under uncertainty (how they behave when visual evidence is missing or misleading).
arXiv AI
Aug 14
Cueless EEG imagined speech for subject identification: dataset and benchmarks
arXiv:2501. 09700v2 Announce Type: replace-cross Abstract: Electroencephalogram (EEG) signals have emerged as a promising modality for biometric identification.
arXiv AI
Aug 14
From Unstructured Recall to Schema-Grounded Memory: Reliable AI Memory via Iterative, Schema-Aware Extraction
arXiv:2604. 27906v3 Announce Type: replace Abstract: Persistent AI memory is often reduced to a retrieval problem: store prior interactions as text, embed them, and ask the model to recover relevant context later.
arXiv AI
Aug 14
HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark
arXiv:2608. 13555v1 Announce Type: cross Abstract: Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos.
arXiv AI
Aug 14
Agreement Is Not Alignment: Divergent Moral Grounds in Human and LLM Ethical Judgments
arXiv:2608. 12368v1 Announce Type: new Abstract: Agreement with human judgments is a common proxy for evaluating the alignment of large language models (LLMs).
arXiv AI
Aug 14
Heterogeneous Vision-Language Ensemble with Disagreement-Aware Reranking for Text-Based Person Anomaly Retrieval
arXiv:2608. 12843v1 Announce Type: cross Abstract: Text-based person anomaly retrieval aims to retrieve pedestrians exhibiting anomalous behaviors from a large image gallery using natural language descriptions.
arXiv AI
Aug 14
LigBench: A Unified and Human-Aligned Benchmark for LLM-based Research Idea Generation
arXiv:2608. 13136v1 Announce Type: cross Abstract: With the rapid advancement of large language models (LLMs), research idea generation has attracted increasing attention.
Hugging Face Trending Papers
Aug 14
Never the Number: Structural Abstention for AI Systems Whose Answers Are Consumed as Fact
Large language models have made natural language interfaces to databases (NLIDB) newly credible, but LLM text-to-SQL systems fail in a way that matters for deployment: a hallucinated column or a mis-a...
Hugging Face Trending Papers
Aug 14
When Personal Memory Has No Single Answer: Evaluating LLM Agents under Irreducible Conflict
LLM agents increasingly maintain personal memory across sessions, but it can conflict. Preferences depend on context, behavior evolves, and sources can conflict. When a query lacks context, time, or s...
Hugging Face Trending Papers
Aug 14
Fashion Outfit Generation via Unified Sequential Composition Models
The task of synthesizing stylistically coherent fashion outfits from massive item libraries, known as fashion outfit generation, remains a non-trivial challenge, primarily due to the non-monotonic and implicit nature of aesthetic compatibility, coupled with the exponentially large combinatorial search space. In this paper, we formalize this task as Constrained Ensemble Generation (CEG) and model it as a finite-horizon deterministic Markov Decision Process.
Hugging Face Trending Papers
Aug 13
HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark
Humanoid motion tracking is central to teleoperation and whole-body imitation, yet evaluation often disagrees with what people perceive in videos. Kinematic errors average per-frame pose differences but miss the physical artifacts that matter most, particularly unstable support and incorrect contacts such as foot skating and mistimed touch-downs.
Hugging Face Trending Papers
Aug 13
SCULPT: Subtractive Composition for 3D Part Generation
Part-aware 3D generation aims to create digital assets that are coherent as complete objects while exposing structural parts for editing, material assignment, animation, and reuse. Existing methods impose this structure outside the native generation loop: segmentation-based methods partition an already generated shape, while additive methods synthesize parts from predefined layouts, boxes, or tokens and then reconcile them into a whole.