Buch, Englisch, 884 Seiten, Format (B × H): 155 mm x 235 mm
World Artificial Intelligence Conference Academic, WAICA 2026, Shanghai, China, July 18–20, 2026, Proceedings
Buch, Englisch, 884 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-981-9284-13-9
Verlag: Springer
This book constitutes the refereed proceedings of the World Artificial Intelligence Conference Academic on Artificial Intelligence, WAICA 2026, held in Shanghai, China, during July 18–20, 2026.
The 57 full papers included in this book were carefully reviewed and selected from 282 submissions. They are organized into the following topical sections: Intelligent Agents; Reasoning; Evaluation and Benchmarks; Large Model Systems; Model Learning; Computer Vision; Speech; Embodied Intelligence; Decision and Optimization; Trustworthy AI; AI for Healthcare; AI for Science; and Intelligent Communications.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- Intelligent Agents.
.- Anchoring Intent and Verifying Locally: Towards Robust Multi-Turn Search with LLMs.
.- Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning.
.- DebateArena: Tracking Pending Judgments and Disagreements in Multi-Agent Debate over Open Event Streams.
.- From Stateless to Situated: Building a Psychological World for LLM-Based Agents.
.- Step-Level Preference Learning for Generative Agents in Social Simulations.
.- Reasoning.
.- InternBootcamp: Boosting LLM Reasoning with Verifiable Task Scaling.
.- Evaluation and Benchmarks.
.- A Deep Research Benchmark with Consensus-Derived Gold Rubrics for Distinguishing Financial Report Qualit
.- A Renewable Benchmark for Failure Diagnosis in Research-Level Mathematical Reasoning.
.- AIDABench: AI Data Analytics Benchmark.
.- MCPVerse: An Expansive, Real-World Benchmark for Agentic Tool Use.
.- MULTI-Bench: A Multi-Turn Interactive Benchmark for Assessing Emotional Intelligence Ability of Spoken Dialogue Models.
.- PhysUniBench: A Multi-Modal Physics Reasoning Benchmark at Undergraduate Level.
.- Large Model Systems.
.- 3D-SSD: A 3D Networked Decoupled SSD Architecture for AI Workloads on High-Density NAND Flash.
.- CTM: Structure-Aware Incremental Placement for Large-Model GPU Clusters.
.- EdgeSwapLLM: SLO-Aware Multi-Model Concurrent Inference for Edge LLM Serving.
.- F2T: Fast Failover in LLM Training with Near-Zero Overhead State Management.
.- Gate Entropy Reveals Quantization Fragility: Zero-Cost Mixed-Precision Allocation for Attention-Residual LLMs.
.- Morphling: Train Deep and Decode Shallow for Accelerated Speculative Decoding.
.- Not All Tokens Are Equal: Inflation-Aware Routing for Agentic LLM Systems.
.- TIDAL: Tidal Intelligent Dynamic Allocation and Scheduling for Large-scale Federated GPU Clusters.
.- Model Learning.
.- Byzantine Robust Distributed Learning with High-dimensional Efficiency.
.- FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation.
.- Source-Prior-Driven Selective Adaptation for Efficient Diffusion Model Finetuning.
.- TAPER: Task-Adaptive Pairwise Energy Regularization for Graph Neural Networks.
.- Computer Vision.
.- CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention.
.- Enhancing Vision Foundation Models via Multimodal Continual Pre-Training.
.- FAST-LSD: Frequency-Spatial and Scale-Selective Transformer for Image-Event Line Segment Detection.
.- Geometry-Aware Debiasing for Visual Question Answering via Mitigating Neural Collapse.
.- MASD: Multi-Agent Structured Diagnosis for Training-Free, Knowledge-Guided Industrial Defect Inspection.
.- SC2A-DKF: Structure-Constrained Color-Aware Dynamic Kernel Filtering for Out-of-Distribution Image Denoising.
.- SG-Layout: Structured Scene Graph–Guided Layout Generation with LLMs.
.- SGC-CLIP: Semantic Graph Guided Calibration for Class-Incremental Learning
.- SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing.
.- StepPrune: Stepwise Sequential Token Selection for Multimodal Large Language Models.
.- Speech.
.- ParaASR: Multi-Token Prediction for Fast and Long-Context LLM-Based Speech Recognition.
.- Embodied Intelligence.
.- A Physics-informed Synthetic X-ray Dataset for Miniature Robot Swarm Tracking.
.- Agentic-VLA: Efficient Online Adaptation for Vision-Language-Action Models.
.- RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction.
.- Decision and Optimization.
.- Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling.
.- HIRED: Hierarchical Interdisciplinary Research Team Formation via Dual-Layer Semantic Alignment.
.- Trustworthy AI.
.- BlitzBough: An Efficient Privacy-Preserving Inference Framework for Decision Trees by Communication Optimization.
.- Liability Frameworks for Agentic AI Systems.
.- Statistical Calibration for LLM Watermark Detection Under Cross-Lingual Attacks.
.- AI for Healthcare.
.- Developing and validating a GraphRAG-LLM for thematic analysis on transcripts in healthcare research.
.- Disagreement and Beyond: Boosting Semi-supervised Medical Image Segmentation with Data Perturbation and Model Stabilization.
.- DyLAC: Latent Dynamics Clustering for Trajectory Data with Application to Mandibular Motion.
.- MARTA: Mask-driven Anchored Reinforcement learning with Transformer-hypergraph Architecture for Interpretable Brain Disorder Diagnosis.
.- OphVLM-R1: Efficient Ophthalmic Reasoning via Curriculum RL.
.- When Explicit Invariance Hurts: A Negative Result for Cross-Cohort Alzheimer's Prognosis Transfer.
.- AI for Science.
.- Beyond Accuracy: Can LLMs Provide Biologically Grounded Evidence in Sequence-Based Omics Tasks?.
.- Cross-Reaction Transfer Learning: From Simple Hydrogenation to Complex Hydroformylation via Mechanistic Subspace Alignment.
.- Reinforcement Learning with Physical Feedback for Stable 3D Molecular Generation.
.- RSPMA: Unified Rollout-Stabilized Predictive Mesh Adaptation for Autoregressive Graph PDE Rollout.
.- scMDDM: A generative cellular world model for transcriptome modeling toward virtual cells.
.- SIGMA: Spectral-Implicit Generative Manifold Architecture for Spatiotemporal Turbulence Synthesis.
.- Intelligent Communications.
.- CATCH: Cross-Resolution Attention for Communication Throughput Prediction with Coupled Heterogeneous Features.
.- Generative Transmission: Rethinking Computation, Bandwidth, and Memory in Communication.
