Papers Text Retrieval
“Text Retrieval” 태그가 달린 논문 788편 · 필터 해제
Retrieval Heads Meet Vision: Uncovering How VLMs Locate and Extract Visual Information
Vision-language models (VLMs) can locate an image region referred to by a text prompt and route the corresponding visual evidence to the output, yet the internal mechanism behind this behavior is not understood. Inspired…
Text RetrievalMLLMCLIP: Feature-Level Distillation of MLLM for Robust Vision-Language Representations
Pretrained vision-language models such as CLIP excel at zero-shot recognition but often fail at compositionality, particularly attribute-object and relational structures. Recent studies mitigate this issue by augmenting …
Text RetrievalLAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
We present LAION-BVD, a large-scale open video dataset for multimodal learning, which contains 1.3B platform-specific video URLs collected from CommonCrawl. From these, we download 80M videos with a total duration of 10 …
Text RetrievalConceptFormer: Learning Adaptive Latent Concepts for Query-Document Alignment in Visual Document Retrieval
Visual document retrieval is a critical component of multimodal retrieval-augmented generation, aiming to identify query-relevant pages from document collections where evidence is distributed across text, layout, charts,…
Representation LearningText RetrievalDARAD: Dual Adapters and Ranking-Aware Distillation for Continual Remote Sensing Image-Text Retrieval
With the rapid growth of Earth observation technologies, remote sensing archives are rapidly expanding, making remote sensing image-text retrieval (RS-ITR) increasingly important. However, continual RS-ITR remains challe…
Continual LearningText RetrievalThrough the LENS: Local Geometric Decomposition of Vision-Language Model Representations
Vision-language models (VLMs) process image patches and text tokens in a shared residual stream, but the local geometry through which the two modalities interact remains poorly understood. Most interpretability methods i…
Text RetrievalA report-grounded vision-language foundation model for colonoscopy from 280000 routine reports
Vision-language models remain underused in colonoscopy despite the rich expert descriptions recorded in routine reports. These reports document lesion appearance, size and location but summarise entire procedures rather …
Text RetrievalWhen Does Explicit View Routing Work? A Controlled Study of Multi-View Graph-Text Alignment
Graph-text retrieval typically maps a graph and its description to a single embedding, even when a query concerns only one semantic aspect, such as a class label or molecular property. Multiple heads can separate these a…
Text RetrievalDataset Distillation by Influence Matching
We revisit dataset distillation from an outcome-centric perspective. Rather than aligning process surrogates (per-step gradients or training trajectories), Influence Matching (Inf-Match) aligns the final outcome of train…
Text RetrievalAlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning
Multimodal models such as CLIP learn a shared embedding space for cross-modal retrieval, but continual adaptation to sequentially arriving data can disrupt the cross-modal alignment acquired from earlier phases. Conventi…
Representation LearningCross-Modal RetrievalText RetrievalWhat Images Cannot Say: Language-Guided Olfactory Representation Learning
Images tell us what a scene looks like, but rarely what it would feel like to be there. While recent datasets pair visual scenes with electronic-nose measurements, aligning smell signals with images remains challenging b…
Representation LearningText RetrievalSubmitted and Diagnostic Analysis of Full-Text Temporal Retrieval for LongEval-Sci
LongEval-Sci evaluates scientific retrieval under collection change, where a system should be effective on the current corpus and remain usable as documents accumulate over time. This paper reports both official Task 1 r…
Text RetrievalPLACEMEM: Toward a Compute-Aware Memory Plane for Lifelong Agents
Lifelong agents need more than larger context windows and better retrieval. They need memories that can persist, evolve, and be corrected without forcing the serving stack to recompute the same history on every turn or s…
Text RetrievalHANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models
Vision-Language Models (VLMs) are typically pre-trained on large-scale image-text datasets to capture semantic correspondences between visual content and natural language. However, they remain surprisingly brittle to neg…
Text RetrievalFusionRS: A Large-Scale RGB-Infrared Remote Sensing Dataset for Dual-Modal Vision-Language Foundation Models
Remote sensing vision-language models have advanced Earth observation understanding, but most existing work remains centered on RGB imagery, leaving the complementary information in infrared data underexplored. Infrared …
Representation LearningText RetrievalMAGE-RAG: Multigranular Adaptive Graph Evidence for Agentic Multimodal RAG in Long-Document QA
Long-document multimodal question answering requires a system to locate sparse evidence in long PDFs and integrate clues from text, tables, images, charts, and complex layouts. Existing RAG methods mostly rely on fixed T…
Question AnsweringText RetrievalBeyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs
Retrieval-Augmented Generation (RAG) fails systematically on queries requiring structural reasoning over interconnected entities. We compare eight retrieval architectures for aerospace supply chain intelligence, progress…
Knowledge GraphsText RetrievalTechRAG: Evidence-Gated Multimodal Agentic RAG for Technical Literature Reasoning
This paper presents an agentic multimodal retrieval-augmented generation (RAG) framework for domain-specific literature reasoning, instantiated on a curated corpus of several thousand papers in intelligent tires, vehicle…
Text RetrievalSemantic Motion Anchors: Bridging Motion and Meaning in Co-Speech Gestures
Learning a shared representation between spoken text and gesture is central to co-speech gesture retrieval, synthesis, and understanding, but remains challenging for semantically meaningful gestures whose communicative i…
Gesture GenerationText RetrievalCan Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models
Large vision-language models increasingly rely on long-context modeling to reason over documents, hour-level videos, and long-horizon agent trajectories, requiring them to locate relevant evidence across interleaved text…
Image RetrievalHead DetectionText Retrieval