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20232026
most citedSpeculative Decoding with Big Little Decoder

9 citations · 16 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025★ 1 cited

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

Lutfi Eren Erdogan, Nicholas Lee, Sehoon Kim +5

Large language models (LLMs) have shown remarkable advancements in enabling language agents to tackle simple tasks. However, applying them for complex, multi-step, long-horizon tas…

cs.CL2025

Deep Binding of Language Model Virtual Personas: a Study on Approximating Political Partisan Misperceptions

Minwoo Kang, Suhong Moon, Seung Hyeong Lee +4

Large language models (LLMs) are increasingly capable of simulating human behavior, offering cost-effective ways to estimate user responses to various surveys and polls. However, t…

cs.CL2025

Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions

Joseph Suh, Erfan Jahanparast, Suhong Moon +2

Large language models (LLMs) present novel opportunities in public opinion research by predicting survey responses in advance during the early stages of survey design. Prior method…

cs.CL2024

TinyAgent: Function Calling at the Edge

Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha +7

Recent large language models (LLMs) have enabled the development of advanced agentic systems that can integrate various tools and APIs to fulfill user queries through function call…

cs.CL2024★ 3 cited

Virtual Personas for Language Models via an Anthology of Backstories

Suhong Moon, Marwa Abdulhai, Minwoo Kang +5

Large language models (LLMs) are trained from vast repositories of text authored by millions of distinct authors, reflecting an enormous diversity of human traits. While these mode…

cs.CL2023★ 3 cited

An LLM Compiler for Parallel Function Calling

Sehoon Kim, Suhong Moon, Ryan Tabrizi +4

The reasoning capabilities of the recent LLMs enable them to execute external function calls to overcome their inherent limitations, such as knowledge cutoffs, poor arithmetic skil…

cs.CL2023★ 9 cited

Speculative Decoding with Big Little Decoder

Sehoon Kim, Karttikeya Mangalam, Suhong Moon +4

The recent emergence of Large Language Models based on the Transformer architecture has enabled dramatic advancements in the field of Natural Language Processing. However, these mo…