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researcher

Kevin Yang

15 papers hereh-index 165.6k citations21 works total

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

author position
  • first author8
  • middle author7

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.LG4
  • cs.AI1
same name
  • Kevin Yang — 14 papers, h 8
  • Kevin Yang — 4 papers, h 1
  • Kevin Yang — 4 papers, h 4
  • Kevin Yang — 3 papers, h 4
  • Kevin Yang — 2 papers, h 1
  • Kevin Yang — 2 papers, h 1

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
20192024
most citedLearning Multimodal Graph-to-Graph Translation for Molecular Optimization

154 citations · 170 across the 9 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023

Improving Pacing in Long-Form Story Planning

Yichen Wang, Kevin Yang, Xiaoming Liu +1

Existing LLM-based systems for writing long-form stories or story outlines frequently suffer from unnatural pacing, whether glossing over important events or over-elaborating on in…

cs.CL2023

PREADD: Prefix-Adaptive Decoding for Controlled Text Generation

Jonathan Pei, Kevin Yang, Dan Klein

We propose Prefix-Adaptive Decoding (PREADD), a flexible method for controlled text generation. Unlike existing methods that use auxiliary expert models to control for attributes,…

cs.CL2023★ 4 cited

RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment

Kevin Yang, Dan Klein, Asli Celikyilmaz +2

We propose Reinforcement Learning from Contrastive Distillation (RLCD), a method for aligning language models to follow principles expressed in natural language (e.g., to be more h…

cs.CL2023

Modular Visual Question Answering via Code Generation

Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar +6

We present a framework that formulates visual question answering as modular code generation. In contrast to prior work on modular approaches to VQA, our approach requires no additi…

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