Search Results for author:
Found 7 papers, 2 papers with code
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
After instruction tuning, KnowCoder further exhibits strong generalization ability on unseen schemas and achieves up to $\textbf{12. 5%}$ and $\textbf{21. 9%}$, compared to sota baselines, under the zero-shot setting and the low resource setting, respectively.
Retrieval-Augmented Code Generation for Universal Information Extraction
Therefore, in this paper, we propose a universal retrieval-augmented code generation framework based on LLMs, called Code4UIE, for IE tasks.
Uncovering the Unseen: Discover Hidden Intentions by Micro-Behavior Graph Reasoning
HID presents a unique challenge in that hidden intentions lack the obvious visual representations to distinguish them from normal intentions.
Group Activity Recognition via Dynamic Composition and Interaction
Group composition tells us the location of people and their relations inside the group, while interaction reflects the relation between humans and objects outside the group.
Group Activity Recognition
Human-Object Interaction Detection
+1
Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
We propose a variational Bayesian method to approximate posterior distributions over dialogue-specific subgraphs, which not only leverages the dialogue corpus for restructuring missing entity relations but also dynamically selects knowledge based on the dialogue context.
End-to-End Video Object Detection with Spatial-Temporal Transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance as previous complex hand-crafted detectors.
Local Facial Makeup Transfer via Disentangled Representation
In this paper, we propose a novel unified adversarial disentangling network to further decompose face images into four independent components, i. e., personal identity, lips makeup style, eyes makeup style and face makeup style.
