Search Results for author:
Found 15 papers, 7 papers with code
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Multi-person pose estimation is an attractive and challenging task.
Ranked #4 on
Multi-Person Pose Estimation
on COCO minival
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System
We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).
SOIT: Segmenting Objects with Instance-Aware Transformers
The pixel-wise mask, especially, is embedded by a group of parameters to construct a lightweight instance-aware transformer.
Event Linking: Grounding Event Mentions to Wikipedia
Third, we retrain and evaluate two state-of-the-art (SOTA) entity linking models, showing the challenges of event linking, and we propose an event-specific linking system EVELINK to set a competitive result for the new task.
Design Challenges in Low-resource Cross-lingual Entity Linking
Cross-lingual Entity Linking (XEL), the problem of grounding mentions of entities in a foreign language text into an English knowledge base such as Wikipedia, has seen a lot of research in recent years, with a range of promising techniques.
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Collaborative filtering (CF) has been proven to be one of the most effective techniques for recommendation.
On the Strength of Character Language Models for Multilingual Named Entity Recognition
Character-level patterns have been widely used as features in English Named Entity Recognition (NER) systems.
Multilingual Named Entity Recognition
named-entity-recognition
+2
Pairwise Representation Learning for Event Coreference
Natural Language Processing tasks such as resolving the coreference of events require understanding the relations between two text snippets.
Capturing the Content of a Document through Complex Event Identification
We address this task as a pipeline, first predicting whether two granular events mentioned in the text belong to the same complex event, independently of their position in the text, and then using this to cluster them into complex events.
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
Explicit decomposition modeling, which involves breaking down complex tasks into more straightforward and often more interpretable sub-tasks, has long been a central theme in developing robust and interpretable NLU systems.
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates
Our evaluation with three scientific surrogates and 32 GPUs illustrates that SOLAR can achieve up to 24. 4X speedup over PyTorch Data Loader and 3. 52X speedup over state-of-the-art data loaders.
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight
Information retrieval (IR) or knowledge retrieval, is a critical component for many down-stream tasks such as open-domain question answering (QA).
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors
Thirdly, we evaluate the performance of Transformers on GAUDI, particularly in handling long sequences and uncovering performance bottlenecks.
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks
Finally, we find that the adversarial examples generated by our method are transferable across all considered LLMs.
