. ├── baseline/ # LLM-based baseline classification │ ├── classifier.py # Gemini API wrapper for classification │ ├── data_loader.py # BBC News dataset loader & sampling │ ├── database.py # Redis ...
ABSTRACT: This paper focuses on the role of classifiers in numeral phrases. Based on a generative syntactic framework, the study examines the functional projections involved in nominal structure. It ...
ABSTRACT: This paper focuses on the role of classifiers in numeral phrases. Based on a generative syntactic framework, the study examines the functional projections involved in nominal structure. It ...
Anthropic Future-Proofs New AI Model With Rigorous Safety Rules Your email has been sent Anthropic has implemented tighter security measures around its Claude Opus 4 AI to mitigate potential misuse, ...
In autonomous robot navigation, terrain cost assignment is typically performed using a semantics-based paradigm in which terrain is first labeled using a pre-trained semantic classifier and costs are ...
Luisa Mao, Garrett Warnell, Peter Stone, and Joydeep Biswas. PACER: Preference-conditioned All-terrain Costmap Generation. Robotics and Automation Letters, 2025. @Article{mao_PACER_RAL2025, author = ...
Language-based agentic systems represent a breakthrough in artificial intelligence, allowing for the automation of tasks such as question-answering, programming, and advanced problem-solving. These ...
Large Language Models (LLMs) have become indispensable tools for diverse natural language processing (NLP) tasks. Traditional LLMs operate at the token level, generating output one word or subword at ...
Large Language Models (LLMs) have achieved remarkable advancements in natural language processing (NLP), enabling applications in text generation, summarization, and question-answering. However, their ...
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