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Found 9 papers, 2 papers with code
A Novel Framework for Detecting Important Subevents from Crisis Events via Dynamic Semantic Graphs
Furthermore, we show that our approach significantly outperforms event detection baselines, highlighting the importance of aggregating information across tweets for our task.
Detecting Training Data of Large Language Models via Expectation Maximization
In this paper, we introduce EM-MIA, a novel MIA method for LLMs that iteratively refines membership scores and prefix scores via an expectation-maximization algorithm, leveraging the duality that the estimates of these scores can be improved by each other.
General Purpose Verification for Chain of Thought Prompting
Many of the recent capabilities demonstrated by Large Language Models (LLMs) arise primarily from their ability to exploit contextual information.
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
We present a novel approach for structured data-to-text generation that addresses the limitations of existing methods that primarily focus on specific types of structured data.
EvEntS ReaLM: Event Reasoning of Entity States via Language Models
This paper investigates models of event implications.
Event-Related Bias Removal for Real-time Disaster Events
Furthermore, the classification of information in real-time systems requires training on out-of-domain data, as we do not have any data from a new emerging crisis.
Definition Frames: Using Definitions for Hybrid Concept Representations
Advances in word representations have shown tremendous improvements in downstream NLP tasks, but lack semantic interpretability.
Event Detection Using Frame-Semantic Parser
Recent methods for Event Detection focus on Deep Learning for automatic feature generation and feature ranking.
Linguistic Markers of Influence in Informal Interactions
There has been a long standing interest in understanding `Social Influence' both in Social Sciences and in Computational Linguistics.
