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cs.CL2026
Evaluating Explanation-Driven Vision-Language Reasoning via Generation Order Interventions
Siting Liang, Luca Rippe, Omar Adjali +1
Natural language explanation generation serves as a key mechanism for exposing and evaluating vision-language reasoning. Prior work on explanation-driven vision-language models pre…
cs.CL2026
A Scalable Cross-Domain Event Extraction System via a Unified Generative Training Framework
Siting Liang, Omar Adjali, Omair Shahzad Bhatti +1
Event extraction is fundamental to information extraction. Prior approaches often separate event detection and argument extraction or depend on dataset-specific designs, limiting s…
cs.CL2026
A Multi-Domain and Multi-Task Generative Framework with Explicit Task and Domain Conditioning for Cross-Domain Event Extraction
Siting Liang, Omar Adjali, Daniel Sonntag
Event extraction aims to identify event triggers, classify event types, and extract arguments to construct structured event representations. Despite strong in-domain performance, d…