Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models. - Renat Aksitov; Chung-Ching Chang; David Reitter; Siamak Shakeri; Yun-Hsuan Sung (CoRR, 2023)

Conversational Recommendation as Retrieval: A Simple, Strong Baseline. - Raghav Gupta; Renat Aksitov; Samrat Phatale; Simral Chaudhary; Harrison Lee 001; Abhinav Rastogi (CoRR, 2023)

KL-Divergence Guided Temperature Sampling. - Chung-Ching Chang; David Reitter; Renat Aksitov; Yun-Hsuan Sung (CoRR, 2023)

Hallucination Augmented Recitations for Language Models. - Abdullatif Köksal; Renat Aksitov; Chung-Ching Chang (CoRR, 2023)

Universal Self-Consistency for Large Language Model Generation. - Xinyun Chen; Renat Aksitov; Uri Alon 002; Jie Ren; Kefan Xiao; Pengcheng Yin; Sushant Prakash; Charles Sutton; Xuezhi Wang 002; Denny Zhou (CoRR, 2023)

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent. - Renat Aksitov; Sobhan Miryoosefi; Zonglin Li; Daliang Li; Sheila Babayan; Kavya Kopparapu; Zachary Fisher; Ruiqi Guo; Sushant Prakash; Pranesh Srinivasan; Manzil Zaheer; Felix X. Yu; et al. (CoRR, 2023)

How new data permeates LLM knowledge and how to dilute it. - Chen Sun; Renat Aksitov; Andrey Zhmoginov; Nolan Andrew Miller; Max Vladymyrov; Ulrich Rueckert; Been Kim; Mark Sandler 002 (ICLR, 2025)