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cs.AI2026
See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay
Ashish Baghel, Paras Chopra
Vision-Language Models (VLMs) excel at describing visual scenes, yet struggle to translate perception into precise, grounded actions. We investigate whether providing VLMs with bot…
cs.AI2026
Building Interpretable Models for Moral Decision-Making
Mayank Goel, Aritra Das, Paras Chopra
We build a custom transformer model to study how neural networks make moral decisions on trolley-style dilemmas. The model processes structured scenarios using embeddings that enco…
cs.AI2025
Do GFlowNets Transfer? Case Study on the Game of 24/42
Adesh Gupta, Abhinav Kumar, Mansi Gupta +1
Generating diverse solutions is key to human-like reasoning, yet autoregressive language models focus on single accurate responses, limiting creativity. GFlowNets optimize solution…