Wenhan Xiong

According to our database1, Wenhan Xiong authored at least 45 papers between 2017 and 2024.

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Bibliography

2024
Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning.
CoRR, 2024

2023
The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task.
CoRR, 2023

Effective Long-Context Scaling of Foundation Models.
CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.
CoRR, 2023

Code Llama: Open Foundation Models for Code.
CoRR, 2023

Prompting Large Language Models with Speech Recognition Abilities.
CoRR, 2023

Text-guided 3D Human Generation from 2D Collections.
CoRR, 2023

Multi-Head State Space Model for Speech Recognition.
CoRR, 2023

VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation.
CoRR, 2023

3DGen: Triplane Latent Diffusion for Textured Mesh Generation.
CoRR, 2023

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding.
CoRR, 2023

Adapting Pretrained Text-to-Text Models for Long Text Sequences.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Text-guided 3D Human Generation from 2D Collections.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Simple Local Attentions Remain Competitive for Long-Context Tasks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Boosted Dense Retriever.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Bridging the Training-Inference Gap for Dense Phrase Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SCROLLS: Standardized CompaRison Over Long Language Sequences.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation.
CoRR, 2021

Unsupervised Multi-hop Question Answering by Question Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.
Proceedings of the 9th International Conference on Learning Representations, 2021

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

extending PySyft with N.-IID Federated Learning Benchmarkby Houda Bouraqqadi, Ayoub Berrag, Mohamed Mhaouach, Afaf Bouhoute, Khalid Fardousse, and Ismail Berrada: Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Zero-shot Fact Verification by Claim Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment.
ACM Trans. Intell. Syst. Technol., 2020

Learning to Recover Reasoning Chains for Multi-Hop Question Answering via Cooperative Games.
CoRR, 2020

Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model.
Proceedings of the 8th International Conference on Learning Representations, 2020

HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Towards Open-Domain Named Entity Recognition via Neural Correction Models.
CoRR, 2019

Meta Reasoning over Knowledge Graphs.
CoRR, 2019

Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Sentence Embedding Alignment for Lifelong Relation Extraction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TWEETQA: A Social Media Focused Question Answering Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Self-Supervised Learning for Contextualized Extractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Do Multi-hop Readers Dream of Reasoning Chains?
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018
Variational Knowledge Graph Reasoning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

One-Shot Relational Learning for Knowledge Graphs.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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