170 citations · 905 across the 84 of their papers we have counts for
85 papers
From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification
Mai Mohamed Eida, Gunjan Anand, Ayush Singh +1
LLMs can generate fluent descriptions from tables, but their outputs may remain logically unsupported by the structured data. We introduce STAT-TO-TEXT, a controlled task in which…
High order approximation to Caputo derivative on graded mesh and time-fractional diffusion equation for non-smooth solutions
Shweta Kumari, Abhishek Kumar Singh, Vaibhav Mehandiratta +1
In this paper, a high-order approximation to Caputo-type time-fractional diffusion equations involving an initial-time singularity of the solution is proposed. At first, we employ…
PRIEST: Projection Guided Sampling-Based Optimization For Autonomous Navigation
Fatemeh Rastgar, Houman Masnavi, Basant Sharma +3
Efficient navigation in unknown and dynamic environments is crucial for expanding the application domain of mobile robots. The core challenge stems from the nonavailability of a fe…
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning
Amritpal Singh, Wenqi Shi, May D Wang
In the context of surgery, robots can provide substantial assistance by performing small, repetitive tasks such as suturing, needle exchange, and tissue retraction, thereby enablin…
SuryaKiran at MEDIQA-Sum 2023: Leveraging LoRA for Clinical Dialogue Summarization
Kunal Suri, Prakhar Mishra, Saumajit Saha +1
Finetuning Large Language Models helps improve the results for domain-specific use cases. End-to-end finetuning of large language models is time and resource intensive and has high…
Ferroelectric MirrorBit-Integrated Field-Programmable Memory Array for TCAM, Storage, and In-Memory Computing Applications
Paritosh Meihar, Rowtu Srinu, Sandip Lashkare +6
In-memory computing on a reconfigurable architecture is the emerging field which performs an application-based resource allocation for computational efficiency and energy optimizat…