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Kai-Wei Chang

18 papers hereh-index 8246 citations27 works total

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

author position
  • middle author18

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.AI4
  • cs.LG4
same name
  • Kai-Wei Chang — 162 papers, h 66
  • Kai-Wei Chang — 47 papers, h 20
  • Kai-Wei Chang — 26 papers, h 13
  • Kai-Wei Chang — 12 papers, h 7
  • Kai-Wei Chang — 12 papers, h 3
  • Kai-Wei Chang — 12 papers, h 11

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
20222026
most citedIs the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models

5 citations · 7 across the 18 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

From Interpretability to Control: Insights from Six Years of the TrustNLP Workshop

Rahul Gupta, Abhinav Mohanty, Anaelia Ovalle +10

The Workshop on Trustworthy Natural Language Processing (TrustNLP), co-located with major ACL conferences since 2021, has grown from 8 proceedings papers to 41 over six editions, d…

cs.CL2026

SWAN: Semantic Watermarking with Abstract Meaning Representation

Ziping Ye, Gourab Dey, Christos Christodoulopoulos +7

We introduce SWAN (Semantic Watermarking with Abstract Meaning Representation), a novel framework that embeds watermark signatures into the semantic structure of a sentence using A…

cs.CL2026

RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment

Yingfeng Luo, Hongyu Liu, Dingyang Lin +6

Large Language Models (LLMs) have achieved remarkable performance in Machine Translation (MT), but deploying them at scale remains prohibitively expensive. A widely adopted remedy…

cs.AI2026

Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework

Tharindu Kumarage, Lisa Bauer, Yao Ma +7

As reasoning capacity and deployment scope grow in tandem, large language models (LLMs) gain the capacity to engage in behaviors that serve their own objectives, a class of risks w…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.