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researcher

O. Long

11 papers hereh-index 1132.1k citations60 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1

Across the 1 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL9
  • cs.AI2
same name
  • O. Long — 145 papers
  • O. Long — 134 papers, h 50
  • O. Long — 101 papers
  • O. Long — 74 papers, h 86
  • O. Long — 62 papers, h 11
  • O. Long — 54 papers, h 121

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedGPT-4o System Card

164 citations · 167 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM

Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal +2

Contrastive decoding (CD) (Li et al., 2023) improves the next-token distribution of a large expert language model (LM) using a small amateur LM. Although CD is applied to various L…

cs.CL2024★ 164 cited

GPT-4o System Card

OpenAI, :, Aaron Hurst +416

GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's…

cs.CL2024★ 1 cited

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

Angana Borah, Rada Mihalcea

As Large Language Models (LLMs) continue to evolve, they are increasingly being employed in numerous studies to simulate societies and execute diverse social tasks. However, LLMs a…

cs.CL2024

PERSONA: A Reproducible Testbed for Pluralistic Alignment

Louis Castricato, Nathan Lile, Rafael Rafailov +2

The rapid advancement of language models (LMs) necessitates robust alignment with diverse user values. However, current preference optimization approaches often fail to capture the…

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