3 papers
cs.LG2025
Inducing Causal World Models in LLMs for Zero-Shot Physical Reasoning
Aditya Sharma, Ananya Gupta, Chengyu Wang +2
Large Language Models (LLMs), despite their advanced linguistic capabilities, fundamentally lack an intuitive understanding of physical dynamics, which limits their effectiveness i…
cs.CL2025
Reducing Hallucinations in Language Model-based SPARQL Query Generation Using Post-Generation Memory Retrieval
Aditya Sharma, Christopher J. Pal, Amal Zouaq
The ability to generate SPARQL queries from natural language questions is crucial for ensuring efficient and accurate retrieval of structured data from knowledge graphs (KG). While…
cs.CL2024
GeoCoder: Solving Geometry Problems by Generating Modular Code through Vision-Language Models
Aditya Sharma, Aman Dalmia, Mehran Kazemi +2
Geometry problem-solving demands advanced reasoning abilities to process multimodal inputs and employ mathematical knowledge effectively. Vision-language models (VLMs) have made si…