Application Areas

Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations EACL 2026 BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives AAAI 2026 Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents AAAI 2026 Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026 BigTokDetect: A Clinically-Informed Vision–Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok EACL 2026 BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation EACL 2026 Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server AAAI 2026 Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer AAAI 2026 BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training AAAI 2026 Bi-VLM: Binary Post-Training Quantization for Vision-Language Models AAAI 2026 BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation AAAI 2026 BlendCLIP: Bridging Synthetic and Real Domains for Zero-Shot 3D Object Classification with Multimodal Pretraining WACV 2026 BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning AAAI 2026 Bolster Hallucination Detection via Prompt-Guided Data Augmentation AAAI 2026 Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation AAAI 2026 Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards AAAI 2026 Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation AAAI 2026 Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources WACV 2026 Bootstrapping Embeddings for Low Resource Languages EACL 2026 Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios? AAAI 2026 Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction EACL 2026 Breaking Alignment Barriers: TPS-Driven Semantic Correlation Learning for Alignment-Free RGB-T Salient Object Detection AAAI 2026 Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation AAAI 2026 Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach AAAI 2026 Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity AAAI 2026