Akriti Jain — accepted AI-conference papers

2025

Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents

Akriti Jain, Pritika Ramu, Aparna Garimella, Apoorv Saxena

EMNLP 2025

Large Language Models (LLMs) have demonstrated strong capabilities in transforming text descriptions or tables to data visualizations via instruction-tuning methods. However, it is not straightforward to apply these methods directly for a more real-world use case of visualizing data from long docume

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2025

FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction

Akriti Jain, Saransh Sharma, Koyel Mukherjee, Soumyabrata Pal

EMNLP 2025

Auto-regressive Large Language Models (LLMs) demonstrate remarkable performance across different domains such as vision and language tasks. However, due to sequential processing through multiple transformer layers, autoregressive decoding faces significant computational challenges, particularly in r

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