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09/14/2023
VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue
Visually-grounded dialog systems, which integrate multiple modes of comm...
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08/14/2023
OctoPack: Instruction Tuning Code Large Language Models
Finetuning large language models (LLMs) on instructions leads to vast pe...
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08/10/2023
A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment
Training large language models (LLMs) with open-domain instruction data ...
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07/12/2023
PolyLM: An Open Source Polyglot Large Language Model
Large language models (LLMs) demonstrate remarkable ability to comprehen...
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05/26/2023
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark
Existing multimodal task-oriented dialog data fails to demonstrate the d...
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05/24/2023
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
Perceiving multi-modal information and fulfilling dialogues with humans ...
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05/22/2023
Iterative Forward Tuning Boosts In-context Learning in Language Models
Large language models (LLMs) have exhibited an emergent in-context learn...
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05/05/2023
Out-of-Domain Intent Detection Considering Multi-turn Dialogue Contexts
Out-of-Domain (OOD) intent detection is vital for practical dialogue sys...
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03/28/2023
TransAudio: Towards the Transferable Adversarial Audio Attack via Learning Contextualized Perturbations
In a transfer-based attack against Automatic Speech Recognition (ASR) sy...
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01/31/2023
Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning
Table-based reasoning has shown remarkable progress in combining deep mo...
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01/05/2023
SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph
Existing multimodal conversation agents have shown impressive abilities ...
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10/21/2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
In this paper, we propose a novel SQL guided pre-training framework STAR...
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09/14/2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
Pre-training methods with contrastive learning objectives have shown rem...
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09/14/2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
This paper aims to improve the performance of text-to-SQL parsing by exp...
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08/29/2022
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning
Multi-view learning has progressed rapidly in recent years. Although man...
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08/29/2022
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
Text-to-SQL parsing is an essential and challenging task. The goal of te...
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06/28/2022
Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing
The importance of building text-to-SQL parsers which can be applied to n...
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03/14/2022
S^2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers
The task of converting a natural language question into an executable SQ...
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11/18/2021
SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing
Recently pre-training models have significantly improved the performance...
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03/07/2021
Improving Text-to-SQL with Schema Dependency Learning
Text-to-SQL aims to map natural language questions to SQL queries. The s...
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01/05/2021
Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing
Semantic parsing has long been a fundamental problem in natural language...
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08/23/2020
Geometry-guided Dense Perspective Network for Speech-Driven Facial Animation
Realistic speech-driven 3D facial animation is a challenging problem due...
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08/06/2019
