News
BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
arXiv:2504.19467v2 Announce Type: replace Abstract: Large language models (LLMs) hold great promise for medical applications...
Breaking PEFT Limitations: Leveraging Weak-to-Strong Knowledge Transfer for Backdoor Attacks in LLMs
arXiv:2409.17946v4 Announce Type: replace-cross Abstract: Despite being widely applied due to their exceptional capabilities, Large...
BOND 2025 AI Trends Report Shows AI Ecosystem Growing Faster than Ever with Explosive User and Developer Adoption
BOND’s latest report on Trends – Artificial Intelligence (May 2025) presents a comprehensive data-driven snapshot...
BMMR: A Large-Scale Bilingual Multimodal Multi-Discipline Reasoning Dataset
arXiv:2507.03483v2 Announce Type: replace Abstract: In this paper, we introduce BMMR, a large-scale bilingual, multimodal...
BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity
arXiv:2507.08771v1 Announce Type: cross Abstract: To alleviate the computational burden of large language models (LLMs)...
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
arXiv:2502.01349v2 Announce Type: replace Abstract: The advent of Large Language Models (LLMs) has revolutionized product...
Beyond Weaponization: NLP Security for Medium and Lower-Resourced Languages in Their Own Right
arXiv:2507.03473v1 Announce Type: new Abstract: Despite mounting evidence that multilinguality can be easily weaponized against...
Beyond single-model AI: How architectural design drives reliable multi-agent orchestration
Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.Read...
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs
arXiv:2502.12988v2 Announce Type: replace Abstract: Previous approaches to persona simulation large language models (LLMs) have...
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
arXiv:2506.17781v1 Announce Type: cross Abstract: Dense embeddings are fundamental to modern machine learning systems, powering...
Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache
arXiv:2506.11886v1 Announce Type: new Abstract: Large Language Models struggle with memory demands from the growing...
Beyond GridSearchCV: Advanced Hyperparameter Tuning Strategies for Scikit-learn Models
Ever felt like trying to find a needle in a haystack? That’s part of the...
