4 papers
Iterative Critique-Refine Framework for Enhancing LLM Personalization
Durga Prasad Maram, Dhruvin Gandhi, Zonghai Yao +5
Personalized text generation requires models not only to produce coherent text but also to align with a target user's style, tone, and topical focus. Existing retrieval-augmented a…
LS-GAN: Human Motion Synthesis with Latent-space GANs
Avinash Amballa, Gayathri Akkinapalli, Vinitra Muralikrishnan
Human motion synthesis conditioned on textual input has gained significant attention in recent years due to its potential applications in various domains such as gaming, film produ…
Safe to Serve: Aligning Instruction-Tuned Models for Safety and Helpfulness
Avinash Amballa, Durga Sandeep Saluru, Gayathri Akkinapalli +2
Large language models (LLMs) have demonstrated remarkable capabilities in complex reasoning and text generation. However, these models can inadvertently generate unsafe or biased r…
Automated Model Selection for Tabular Data
Avinash Amballa, Gayathri Akkinapalli, Manas Madine +2
Structured data in the form of tabular datasets contain features that are distinct and discrete, with varying individual and relative importances to the target. Combinations of one…