Preetam Gattogi
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View article: BALI—A Benchmark for Accelerated Language Model Inference
BALI—A Benchmark for Accelerated Language Model Inference Open
The rise of Large Language Models (LLMs) has revolutionized natural language processing, enabling advancements across diverse applications, including chatbots, live translators, content generation, virtual assistants, and domain-specific a…
View article: Bridging Language Models and Knowledge Graphs with Controlled Natural Languages
Bridging Language Models and Knowledge Graphs with Controlled Natural Languages Open
View article: Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources
Beyond Boundaries: A Human-like Approach for Question Answering over Structured and Unstructured Information Sources Open
Answering factual questions from heterogenous sources, such as graphs and text, is a key capacity of intelligent systems. Current approaches either (i) perform question answering over text and structured sources as separate pipelines follo…
View article: Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering
Language Models as Controlled Natural Language Semantic Parsers for Knowledge Graph Question Answering Open
We propose the use of controlled natural language as a target for knowledge graph question answering (KGQA) semantic parsing via language models as opposed to using formal query languages directly. Controlled natural languages are close to…