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Found 5 papers, 3 papers with code
Annotating Temporal Dependency Graphs via Crowdsourcing
We present the construction of a corpus of 500 Wikinews articles annotated with temporal dependency graphs (TDGs) that can be used to train systems to understand temporal relations in text.
Modal Dependency Parsing via Language Model Priming
The task of modal dependency parsing aims to parse a text into its modal dependency structure, which is a representation for the factuality of events in the text.
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
We show that Shadowcast are highly effective in achieving attacker's intentions using as few as 50 poison samples.
Robust Offline Reinforcement Learning -- Certify the Confidence Interval
Currently, reinforcement learning (RL), especially deep RL, has received more and more attention in the research area.
Factuality Assessment as Modal Dependency Parsing
In this paper, we frame factuality assessment as a modal dependency parsing task that identifies the events and their sources, formally known as conceivers, and then determine the level of certainty that the sources are asserting with respect to the events.
