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Papers

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Showing 9076–9100 of 474278 papers

TitleStatusHype
DNA-DetectLLM: Unveiling AI-Generated Text via a DNA-Inspired Mutation-Repair ParadigmCode0
TASP: Topology-aware Sequence ParallelismCode0
Multilingual Knowledge Graph Completion via Efficient Multilingual Knowledge SharingCode0
An LLM-Powered Cooperative Framework for Large-Scale Multi-Vehicle NavigationCode0
MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During GenerationCode0
IsoSignVid2Aud: Sign Language Video to Audio Conversion without Text IntermediariesCode0
Understanding DeepResearch via ReportsCode0
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?Code0
RASALoRE: Region Aware Spatial Attention with Location-based Random Embeddings for Weakly Supervised Anomaly Detection in Brain MRI ScansCode0
Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery FacesCode0
Mitigating Judgment Preference Bias in Large Language Models through Group-Based PollingCode0
GCPO: When Contrast Fails, Go GoldCode0
Dynamic Factor Analysis of Price Movements in the Philippine Stock Exchange—0
Interpretable Robot Control via Structured Behavior Trees and Large Language ModelsCode0
LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS—0
ObjexMT: Objective Extraction and Metacognitive Calibration for LLM-as-a-Judge under Multi-Turn JailbreaksCode0
Autonomy-Aware Clustering: When Local Decisions Supersede Global PrescriptionsCode0
PIKA: Expert-Level Synthetic Datasets for Post-Training Alignment from ScratchCode0
Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout—0
TFM Dataset: A Novel Multi-task Dataset and Integrated Pipeline for Automated Tear Film Break-Up SegmentationCode0
HARP-NeXt: High-Speed and Accurate Range-Point Fusion Network for 3D LiDAR Semantic SegmentationCode0
Unified Unsupervised Anomaly Detection via Matching Cost FilteringCode0
POME: Post Optimization Model Edit via Muon-style ProjectionCode0
Angular Constraint Embedding via SpherePair Loss for Constrained ClusteringCode0
Robot Learning from Any Images—0
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