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Showing 76–100 of 337 papers

TitleStatusHype
CodeSearchNet Challenge: Evaluating the State of Semantic Code SearchCode1
Use What You Have: Video Retrieval Using Representations From Collaborative ExpertsCode1
TALL: Temporal Activity Localization via Language QueryCode1
SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding—0
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs—0
Towards Probabilistic Question Answering Over Tabular Data—0
Invocable APIs derived from NL2SQL datasets for LLM Tool-Calling Evaluation—0
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
MLVTG: Mamba-Based Feature Alignment and LLM-Driven Purification for Multi-Modal Video Temporal Grounding—0
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting—0
DGMO: Training-Free Audio Source Separation through Diffusion-Guided Mask Optimization—0
ACCESS DENIED INC: The First Benchmark Environment for Sensitivity AwarenessCode0
A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy—0
MGS3: A Multi-Granularity Self-Supervised Code Search Framework—0
CoRet: Improved Retriever for Code Editing—0
Text-Queried Audio Source Separation via Hierarchical Modeling—0
Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework—0
StreamLink: Large-Language-Model Driven Distributed Data Engineering System—0
Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance—0
LLM-Powered Agents for Navigating Venice's Historical Cadastre—0
RAZER: Robust Accelerated Zero-Shot 3D Open-Vocabulary Panoptic Reconstruction with Spatio-Temporal Aggregation—0
Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex—0
CRAFT: Training-Free Cascaded Retrieval for Tabular QA—0
Knowledge Graph Based Repository-Level Code Generation—0
RouteNator: A Router-Based Multi-Modal Architecture for Generating Synthetic Training Data for Function Calling LLMs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EgoVideoR@1 Mean(0.3 and 0.5)23.68—Unverified
2DeCafNet-100%R@1 Mean(0.3 and 0.5)18.86—Unverified
3DeCafNet-50%R@1 Mean(0.3 and 0.5)17.93—Unverified
4RGNetR@1 Mean(0.3 and 0.5)16.55—Unverified
5DeCafNet-50% (no NaQ)R@1 Mean(0.3 and 0.5)15.32—Unverified
6InternVideoR@1 Mean(0.3 and 0.5)13.26—Unverified
7EgoVLPv2R@1 IoU=0.312.95—Unverified
8UniMD+Sync.R@1 Mean(0.3 and 0.5)12.11—Unverified
9ReLER@ZJU-AlibabaR@1 Mean(0.3 and 0.5)10.52—Unverified
10EgoVLPR@1 Mean(0.3 and 0.5)8.35—Unverified