3 papers
cs.CL2025
HIDE and Seek: Detecting Hallucinations in Language Models via Decoupled Representations
Anwoy Chatterjee, Yash Goel, Tanmoy Chakraborty
Contemporary Language Models (LMs), while impressively fluent, often generate content that is factually incorrect or unfaithful to the input context - a critical issue commonly ref…
cs.CL2025
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
Ayan Sengupta, Yash Goel, Tanmoy Chakraborty
Neural scaling laws have revolutionized the design and optimization of large-scale AI models by revealing predictable relationships between model size, dataset volume, and computat…
cs.CL2025
Position: Enough of Scaling LLMs! Lets Focus on Downscaling
Yash Goel, Ayan Sengupta, Tanmoy Chakraborty
We challenge the dominant focus on neural scaling laws and advocate for a paradigm shift toward downscaling in the development of large language models (LLMs). While scaling laws h…