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06/06/2023
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search
Customers interacting with product search engines are increasingly formu...
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05/27/2023
Answering Unanswered Questions through Semantic Reformulations in Spoken QA
Spoken Question Answering (QA) is a key feature of voice assistants, usu...
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05/17/2023
Unconfounded Propensity Estimation for Unbiased Ranking
The goal of unbiased learning to rank (ULTR) is to leverage implicit use...
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05/11/2023
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2)
We present the findings of SemEval-2023 Task 2 on Fine-grained Multiling...
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05/02/2023
Multimodal Procedural Planning via Dual Text-Image Prompting
Embodied agents have achieved prominent performance in following human i...
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10/27/2022
Reinforced Question Rewriting for Conversational Question Answering
Conversational Question Answering (CQA) aims to answer questions contain...
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10/13/2022
Explanations from Large Language Models Make Small Reasoners Better
Integrating free-text explanations to in-context learning of large langu...
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10/07/2022
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
With the recent advance in large pre-trained language models, researcher...
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09/18/2022
PIM-QAT: Neural Network Quantization for Processing-In-Memory (PIM) Systems
Processing-in-memory (PIM), an increasingly studied neuromorphic hardwar...
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07/24/2022
Model-based Unbiased Learning to Rank
Unbiased Learning to Rank (ULTR) that learns to rank documents with bias...
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05/11/2022
KETOD: Knowledge-Enriched Task-Oriented Dialogue
Existing studies in dialogue system research mostly treat task-oriented ...
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03/27/2022
StruBERT: Structure-aware BERT for Table Search and Matching
A large amount of information is stored in data tables. Users can search...
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02/10/2022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
Neural network quantization is a promising compression technique to redu...
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12/01/2021
CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories
Accelerating finite automata processing is critical for advancing real-t...
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09/01/2021
FinQA: A Dataset of Numerical Reasoning over Financial Data
The sheer volume of financial statements makes it difficult for humans t...
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08/21/2021
Programmable FPGA-based Memory Controller
Even with generational improvements in DRAM technology, memory access la...
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07/06/2021
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
A compact, accurate, and bitwidth-programmable in-memory computing (IMC)...
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06/22/2021
Automatic Head Overcoat Thickness Measure with NASNet-Large-Decoder Net
Transmission electron microscopy (TEM) is one of the primary tools to sh...
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05/19/2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
Deep neural networks are found to be prone to adversarial examples which...
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05/05/2021
WTR: A Test Collection for Web Table Retrieval
We describe the development, characteristics and availability of a test ...
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03/12/2021
Inductive Relation Prediction by BERT
Relation prediction in knowledge graphs is dominated by embedding based ...
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02/23/2021
Neural Ranking Models for Document Retrieval
Ranking models are the main components of information retrieval systems....
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10/24/2020
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Existing conversational systems are mostly agent-centric, which assumes ...
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07/05/2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification
Extreme multi-label text classification (XMTC) is a task for tagging a g...
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05/19/2020
Table Search Using a Deep Contextualized Language Model
Pretrained contextualized language models such as BERT have achieved imp...
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04/30/2020
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms
Previous works on Natural Language Generation (NLG) from structured data...
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04/22/2020
Logical Natural Language Generation from Open-Domain Tables
Neural natural language generation (NLG) models have recently shown rema...
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04/15/2020
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
Existing question answering datasets focus on dealing with homogeneous i...
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02/14/2020
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing
Computation-intensive pretrained models have been taking the lead of man...
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01/27/2020
Leveraging Schema Labels to Enhance Dataset Search
A search engine's ability to retrieve desirable datasets is important fo...
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06/03/2019
Global Textual Relation Embedding for Relational Understanding
Pre-trained embeddings such as word embeddings and sentence embeddings a...
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04/21/2019
Few-shot NLG with Pre-trained Language Model
Natural language generation (NLG) from structured data or knowledge is e...
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02/27/2019
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection
With the rapid development in deep learning, deep neural networks have b...
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09/17/2018