Papers Natural Language Queries
“Natural Language Queries” 태그가 달린 논문 465편 · 필터 해제
Where to Look Matters: Learning Influential Views for VLM-based 3D Visual Grounding
Recent zero-shot 3D visual grounding methods leverage vision-language models (VLMs) to localize objects in 3D scenes from natural language queries. However, these methods typically rely on heuristic rules to select which…
Natural Language QueriesVisual GroundingAutomated Testing of LLM-Based Post Hoc Explainers Using Model Checking as an Oracle
Large language models (LLMs) are used as post hoc explainers of sequential decision-making policies, producing natural-language explanations of why an action was chosen. However, LLMs often generate plausible but incorre…
Natural Language QueriesBALMS: Benchmarking Agentic LLMs for Longitudinal Mental Health Sensing
Mental health assessment relies on episodic self-report scales, which convert subjective states such as stress into numerical scores but provide only sparse snapshots of wellbeing. Wearable devices offer longitudinal beh…
Natural Language QueriesID-VTG: Image-Disambiguated Video Temporal Grounding
Video Temporal Grounding (VTG) faces significant challenges when natural language queries must distinguish between multiple events involving visually similar entities, particularly when relying on fine-grained visual att…
Natural Language QueriesA Multi-Agent Platform for Automated Enterprise Analytics and Insight Generation
This paper proposes a multi-agent framework built on CrewAI [1] for conversational business intelligence. Five specialized AI agents operate in a sequential pipeline to process natural language queries, retrieve and anal…
Natural Language QueriesC-GAP: Class-Aware and Online Prompting Improves Vision-Language Models on Imbalanced Classes
Safety-critical perception systems must reliably detect rare object classes within small label spaces, a setting that long-tailed detection methods, designed for hundreds of classes with dense annotation, fundamentally d…
Natural Language QueriesVideo-Text Temporal Localization via Multi-Scale Convolution and Dynamic Routing
Video-text temporal localization requires precise alignment between natural language queries and corresponding video segments, a fundamental challenge in multimodal understanding. We present a novel framework that addres…
Computational EfficiencyNatural Language QueriesSemantic CommunicationMulti-Task LearningMedi-Gemma: A Hybrid Clinical Decision Support System Integrating Deterministic EMR Analytics and Retrieval-Augmented Generation
Deploying Large Language Models (LLMs) in high-stakes clinical settings remains limited by structural hallucinations, weak deterministic reasoning over tabular patient data, and omissions in vector retrieval. This paper …
Natural Language QueriesSTAC: Selective Spatiotemporal Aggregation and Compression for Video Reasoning Segmentation
Video reasoning segmentation demands pixel-accurate object tracking across hundreds of frames under complex natural language queries, producing dense spatiotemporal tokens whose quadratic self-attention cost makes long-v…
Natural Language QueriesObject TrackingDART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding
Zero-shot video temporal grounding (VTG) localizes events in untrimmed videos from natural language queries without task-specific training. Existing methods rely on frame-query feature matching, which suffices for simple…
Natural Language QueriesMV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes
Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-aided design (CAD), robotic manipulation, and scientific simulation.…
Natural Language QueriesHow Can AI Find My Model? A Model-Finding Experimental Study Considering Data Formats, Embeddings, and Retrieval Strategies
Discovering simulation models for reuse remains a fundamental challenge in Modeling and Simulation (M&S). When many models coexist, identifying those that align with a given modeling intent remains difficult. Recent adva…
Natural Language QueriesInformation RetrievalDataMagic: Transforming Tabular Data into Data Insight Video
Data videos integrate dynamic charts, voice narration, and synchronized animations to communicate data insights as temporal narratives, making them an effective medium for improving data consumption efficiency in the dat…
Natural Language QueriesVideo GenerationDREAM: Extending Vision-Language Models with Dual-Objective Encoding for Cross-Modal Retrieval
In today's media-driven world, the exponential growth of video content across domains such as surveillance, education, and entertainment has made retrieving semantically relevant videos via natural language queries incre…
Natural Language QueriesRepresentation LearningCross-Modal RetrievalVideo RetrievalRisk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation
We present an LLM-driven framework for retrieving remote sensing data from cloud-based geospatial catalogues using natural language queries. The system converts user intent into structured API calls, enabling efficient a…
Natural Language QueriesChatPlanner: A Large Language Model Framework for Personalized Public Transit Routing
Personalized public transit routing in public transit systems remains challenging due to the difficulty of capturing and integrating diverse user preferences into routing algorithms. This paper presents ChatPlanner, a no…
Natural Language UnderstandingNatural Language QueriesInformation ExtractionToken Complexity Theory for AI-Augmented Computing
AI-augmented computing delegates natural language queries, code generation requests, and other open-ended tasks to a cluster of AI models that processes queries and generates responses. This paradigm introduces a resourc…
Natural Language QueriesCode GenerationCACR:Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
The task of temporal answer grounding in instructional video (TAGV), which aims to locate precise video segments that respond to natural language queries, is increasingly important for direct video answer retrieval. This…
Natural Language QueriesVisual ReasoningQueryWeaver: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation
Many real-world queries over personal data span multiple applications and require structured planning, as individual tools expose only partial information. While LLMs show strong reasoning and tool use, reliably executin…
Natural Language QueriesGraph GenerationROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
Text-Based Person Search (TBPS) aims to retrieve pedestrian images using natural language queries. However, existing TBPS models, especially those based on CLIP, struggle with fine-grained understanding due to global rep…
Natural Language QueriesContrastive LearningPerson Search