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Found 8 papers, 4 papers with code
CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models
The pursuit of modern models, like Diffusion Models (DMs), holds promise for achieving high-fidelity, real-time speech synthesis.
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors
Continual Few-shot Relation Extraction (CFRE) is a practical problem that requires the model to continuously learn novel relations while avoiding forgetting old ones with few labeled training data.
Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions
This paper presents a novel mechanism design for multi-item auction settings with uncertain bidders' type distributions.
Generative Prompt Tuning for Relation Classification
Current prompt tuning methods mostly convert the downstream tasks to masked language modeling problems by adding cloze-style phrases and mapping all labels to verbalizations with fixed length, which has proven effective for tasks with simple label spaces.
Ranked #2 on
Relation Extraction
on Re-TACRED
Exploring Task Difficulty for Few-Shot Relation Extraction
Few-shot relation extraction (FSRE) focuses on recognizing novel relations by learning with merely a handful of annotated instances.
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities.
Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph
The structural information of Knowledge Bases (KBs) has proven effective to Question Answering (QA).
Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion
The incompleteness of knowledge base (KB) is a vital factor limiting the performance of question answering (QA).
