A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Karl Hanna, Chen Feng
This paper investigates whether label-free multiple-choice strategies can remove option-order bias in LLMs, finding they do not reliably improve accuracy and that withholding options is the bottleneck.
Ananya Sahu, Mohit Bansal, Elias Stengel-Eskin
CreativeInstruct teaches LLMs to balance creativity and quality via special [StartCreativity] spans, matching or exceeding diversity baselines without sacrificing quality.
Unknown
This paper argues that effective real-world LLM agents require optimizing productivity, proactivity, and personalization, and proposes a training approach to achieve this.
Nossa Iyamu
A deterministic, zero-model pipeline compiles passively captured screen activity into typed activity frames, reducing raw capture 86x and enabling 98.4% question-answering accuracy, while also measuring agent cost parameters.
Unknown
This paper reviews federated learning applications, highlighting its role as a decentralized privacy-preserving technology to address data silos and data sensitivity challenges.
Unknown
Introduces Vitabench, a benchmark for evaluating LLM agents on versatile interactive tasks in real-world applications, capturing complexity of handling extensive information.
Hongming Chen, Ola Engkvist, Yinhai Wang, et al.
This paper reviews the first wave of deep learning applications in drug discovery, covering bioactivity prediction, de novo molecular design, synthesis prediction, and biological image analysis.
Ioannis Maniadis Metaxas, Adrian Bulat, Alberto Baldrati, et al.
UltraViT is a latency-optimized vision encoder for LVLMs using a pyramidal architecture with heterogeneous spatial mixers and a two-stage generative pre-training strategy, achieving 1.7x speedup on-device.
Manuel Cossio
This paper provides a comprehensive taxonomy of LLM hallucinations, arguing their theoretical inevitability and emphasizing the need for robust detection, mitigation, and human oversight.
Yuzhong Zhao, Yue Liu, Junpeng Liu, et al.
GMPO improves GRPO stability by replacing arithmetic mean with geometric mean of token rewards, reducing outlier sensitivity and boosting reasoning performance.
Emilio Ferrara
This survey explores early trends, datasets, and challenges in applying large language models to wearable sensor data for human activity recognition, health monitoring, and behavioral modeling.
Maria Rita Palattella, Mischa Döhler, Alfredo Grieco, et al.
This paper analyzes how 5G technologies can serve as a key enabler for the Internet of Things by addressing connectivity fragmentation and enabling ubiquitous, reliable, scalable, and cost-efficient IoT services.