Papers Structured Prediction
“Structured Prediction” 태그가 달린 논문 684편 · 필터 해제
Key Point Analysis Needs Structure Recovery: Task Definition, Dataset Diagnosis, and a Structure-Aware Benchmark
Key Point Analysis (KPA) aims to identify a concise set of key points that summarize a collection of arguments together with their prevalence. We argue that KPA is fundamentally a structured prediction problem that requi…
Structured PredictionA Simulator-Grounded Framework For Constructing Verifiable Muscle-Grounded QA From 3D Tongue Meshes (extended version)
Existing articulatory corpora based on real-time MRI and electromagnetic articulography capture tongue motion but lack traceable labels for the muscle-driven process underlying each configuration. We introduce a simulato…
Structured PredictionWhen Machines Speak: A Unified Generative Framework for Integrating Machine-Native Symbols into Pretrained Large Language Models
Many real-world AI systems represent entities, behaviors, and structured information using discrete machine-native symbols rather than natural language. While these representations are compact and preserve task-relevant …
Sequential RecommendationStructured PredictionStructured Prediction for Scalable Spreadsheet Table Understanding: From Cell Types to Table Ranges (Extended Version)
Spreadsheets are a primary medium for publishing tabular data, yet automatically extracting structured content from them remains difficult due to heterogeneous layouts, diverse file formats, and inconsistent organization…
Structured PredictionTable DetectionStepReflect: Structured UI Transition Reflection for Mobile GUI Agents
Autonomous mobile GUI agents require accurate action reflection for reliable long-horizon execution. Existing approaches rely on open-ended multimodal reasoning after each action, which is costly and poorly matched to th…
Structured PredictionMultimodal ReasoningCosFly-VLA: A Spatially Aware Vision-Language-Action Model for UAV Tracking
Dynamic target tracking is essential for Unmanned Aerial Vehicles (UAVs) operating in complex urban environments, where both the target and the camera viewpoint change continuously. Existing Vision-Language-Action (VLA) …
Reinforcement LearningStructured PredictionCollision AvoidanceSpatial ReasoningBeyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection
Human value detection is commonly formulated as sentence-level multi-label classification over the 19 refined Schwartz values, typically predicted as independent labels. Schwartz theory, however, describes them as a circ…
Multi-Label ClassificationStructured PredictionThe Classics at SemEval-2026 Task 3: Combining Transformer Models and LLM-Generated Annotations for Dimensional Aspect-Based Sentiment Analysis
This paper presents an approach to the SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis. We investigate methods for moving beyond traditional categorical sentiment (e.g., positive or negative) to predict …
Structured PredictionSentiment AnalysisRethinking Foundation Model Collaboration: Enhancing Specialized Models through Proxy Task Reasoning
Foundation models are increasingly integrated into embodied intelligence systems, but directly assigning them structured prediction tasks requires precise geometric and numerical estimation, where specialized models ofte…
Structured PredictionTrajectory PredictionSemantic Segmentation2D Object DetectionStable-Shift: Biologically Structured Prediction of Transcriptional Responses to Unseen Gene Perturbations
Predicting transcriptional responses to genetic perturbations could reduce the experimental burden of functional genomics, but extrapolation to genes that were never perturbed during training remains difficult. We presen…
Structured PredictionSenFlow: Inter-Sentence Flow Modeling for AI-Generated Text Detection in Hybrid Documents
Sentence-level AI-generated text detection (S-AGTD) for hybrid documents, where humans and LLMs co-author one text, faces two gaps: existing methods classify each sentence in isolation, discarding inter-sentence dependen…
Structured PredictionText DetectionPAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums
Longitudinal personal albums are weak-schema multimodal databases: noisy perceptual records whose key facts require joins across faces, text, timestamps, locations, and repeated events. Existing visual, video, document, …
Structured PredictionEntity ResolutionDomain-Adapted Small Language Models with Hybrid Post-Processing: Achieving Cost-Efficient, Low-Latency Multi-Label Structured Prediction via LoRA Fine-Tuning on Scarce Data
Deploying frontier large language models (LLMs) for domain-specific structured evaluation tasks incurs prohibitive latency, cost, and data-privacy overhead. We present a hybrid framework that fine-tunes a small language …
Structured PredictionImages as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images
AI-generated image detection is a moving-target problem: detectors trained on one generator often fail when a new generator appears, and only a few labeled examples are available. We study a simple image-to-table formula…
Structured PredictionTowards Distillation Guarantees under Algorithmic Alignment for Combinatorial Optimization
Distillation transfers knowledge from a large model trained on broad data to a smaller, more efficient model suitable for deployment. In structured prediction settings, prior knowledge about the task can guide the choice…
Structured PredictionGraph Neural NetworkContinual Segmentation under Joint Nonstationarity
Evolving data streams induce joint nonstationarity in continual semantic segmentation, where semantic classes, input distributions, and supervision availability change simultaneously over time. This setting reflects prac…
Continual Semantic SegmentationStructured PredictionContinual LearningCurveBench: A Benchmark for Exact Topological Reasoning over Nested Jordan Curves
We introduce CurveBench, a benchmark for hierarchical topological reasoning from visual input. CurveBench consists of \textbf{756 images} of pairwise non-intersecting Jordan curves across easy, polygonal, topographic-ins…
Structured PredictionVisual ReasoningContextual Plackett-Luce: An Efficient Neural Model for Probabilistic Sequence Selection under Ambiguity
Selecting a coherent sequence or subset of elements is a fundamental problem in structured prediction, arising in tasks such as detection, trajectory forecasting, and representative subset selection. In many such setting…
Trajectory ForecastingStructured PredictionA Multi-Head Attention Approach for SLA Compliance Monitoring in Data Centers
Service level agreements (SLAs) in data center colocation contracts define precise thresholds for power, temperature, and humidity, with tiered violation penalties expressed as credits against monthly recurring charges. …
Structured PredictionUltrasound Vision-Language Alignment via Contrastive Learning
Ultrasound foundation models have achieved strong performance on structured prediction tasks but remain exclusively vision-based, limiting zero-shot and few-shot transfer to novel tasks where task-specific annotation is …
Structured PredictionContrastive LearningDomain Adaptation