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Home/Authors/David Williams-King

David Williams-King

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2NLP×1ML×1Crypto×1

Frequent co-authors

Matthew Khoriaty1×
Shi Feng1×
Astha Mehta1×
Niruthiha Selvanayagam1×
Cedric Lam1×
Hengxu Li1×

Research Timeline

2026
FragBench: Cross-Session Attacks Hidden in Benign-Looking Fragments

The paper introduces FragBench, a novel benchmark designed to detect malicious LLM attacks that are split across multiple, seemingly benign sessions, showing that cross-session graph modeling is necessary for effective defense.

"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise

The paper introduces the Decan metric, a novel, information-theoretic approach for measuring creative diversity in AI outputs, which successfully detects diversity loss across different model fine-tuning stages.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIcs.LGRecentJun 1, 2026

"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise

Matthew Khoriaty, David Williams-King, Shi Feng

The paper introduces the Decan metric, a novel, information-theoretic approach for measuring creative diversity in AI outputs, which successfully detects diversity loss across different model fine-tun…

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cs.CRcs.AIRecentMay 10, 2026

FragBench: Cross-Session Attacks Hidden in Benign-Looking Fragments

Astha Mehta, Niruthiha Selvanayagam, Cedric Lam, Hengxu Li +9 more

The paper introduces FragBench, a novel benchmark designed to detect malicious LLM attacks that are split across multiple, seemingly benign sessions, showing that cross-session graph modeling is neces…

View →