Search Results for author:
Found 7 papers, 5 papers with code
EA^2E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
Events are inter-related in documents.
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents
Recent work has embodied LLMs as agents, allowing them to access tools, perform actions, and interact with external content (e. g., emails or websites).
LLM Agents can Autonomously Hack Websites
However, not much is known about the offensive capabilities of LLM agents.
Removing RLHF Protections in GPT-4 via Fine-Tuning
In tandem, LLM vendors have been increasingly enabling fine-tuning of their most powerful models.
GLEN: General-Purpose Event Detection for Thousands of Types
Finally, we perform error analysis and show that label noise is still the largest challenge for improving performance for this new dataset.
ConFiguRe: Exploring Discourse-level Chinese Figures of Speech
Different from previous token-level or sentence-level counterparts, ConFiguRe aims at extracting a figurative unit from discourse-level context, and classifying the figurative unit into the right figure type.
EA$^2$E: Improving Consistency with Event Awareness for Document-Level Argument Extraction
Events are inter-related in documents.
