1 citations · 1 across the 6 of their papers we have counts for
8 papers
Hierarchical Masked Diffusion Language Models
Parul Gupta, Satwik, Avni Aggarwal +5
Masked diffusion language models have emerged as an alternative to autoregressive models, enabling parallel token generation. However, standard masked diffusion language models use…
Back-Translation Still Matters: Leveraging Monolingual Data for Low-Resource Machine Translation with LLMs
Divyanshu Bathla, Parag Singla, Jitin Singla
Pre-trained Large Language Model (LLMs) are effective on many tasks in zero-shot and few-shot settings. For machine translation of low-resource languages, the obvious options are f…
The Percept-V Challenge: Can Multimodal LLMs Crack Simple Perception Problems?
Samrajnee Ghosh, Naman Agarwal, Ashish Goswami +4
Cognitive science research treats visual perception, the ability to understand and make sense of a visual input, as one of the early developmental signs of intelligence. Its TVPS-4…
LLMs are Brittle to Simple Code Transformations: Introducing CETBench - A Benchmark for Code-Equivalence Checking
Neeva Oza, Ishaan Govil, Parul Gupta +3
We study how well LLMs can determine whether two programs are functionally equivalent. This is an important problem because benchmarking code equivalence helps assess LLM capabilit…
GraPE: A Generate-Plan-Edit Framework for Compositional T2I Synthesis
Ashish Goswami, Satyam Kumar Modi, Santhosh Rishi Deshineni +3
Text-to-image (T2I) generation has seen significant progress with diffusion models, enabling generation of photo-realistic images from text prompts. Despite this progress, existing…
Learning Disentangled Representation in Object-Centric Models for Visual Dynamics Prediction via Transformers
Sanket Gandhi, Atul, Samanyu Mahajan +4
Recent work has shown that object-centric representations can greatly help improve the accuracy of learning dynamics while also bringing interpretability. In this work, we take thi…
Fill in the Blank: Exploring and Enhancing LLM Capabilities for Backward Reasoning in Math Word Problems
Aniruddha Deb, Neeva Oza, Sarthak Singla +3
While forward reasoning (i.e., find the answer given the question) has been explored extensively in recent literature, backward reasoning is relatively unexplored. We examine the b…
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach
Harman Singh, Poorva Garg, Mohit Gupta +7
We are interested in image manipulation via natural language text -- a task that is useful for multiple AI applications but requires complex reasoning over multi-modal spaces. We e…