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09/13/2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass
Differentially private stochastic gradient descent (DP-SGD) adds noise t...
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09/11/2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
We introduce MAmmoTH, a series of open-source large language models (LLM...
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08/07/2023
AgentBench: Evaluating LLMs as Agents
Large Language Models (LLMs) are becoming increasingly smart and autonom...
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07/29/2023
Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System
We introduce TacoBot, a user-centered task-oriented digital assistant de...
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06/30/2023
Biomedical Language Models are Robust to Sub-optimal Tokenization
As opposed to general English, many concepts in biomedical terminology h...
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06/16/2023
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
Text-guided image editing is widely needed in daily life, ranging from p...
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06/09/2023
Mind2Web: Towards a Generalist Agent for the Web
We introduce Mind2Web, the first dataset for developing and evaluating g...
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05/26/2023
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
This paper studies a new task of federated learning (FL) for semantic pa...
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05/23/2023
Exploring Chain-of-Thought Style Prompting for Text-to-SQL
Conventional supervised approaches for text-to-SQL parsing often require...
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05/22/2023
Can ChatGPT Defend the Truth? Automatic Dialectical Evaluation Elicits LLMs' Deficiencies in Reasoning
We explore testing the reasoning ability of large language models (LLMs)...
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05/22/2023
Text-to-SQL Error Correction with Language Models of Code
Despite recent progress in text-to-SQL parsing, current semantic parsers...
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05/10/2023
Automatic Evaluation of Attribution by Large Language Models
A recent focus of large language model (LLM) development, as exemplified...
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03/06/2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
Prompt tuning, in which a base pretrained model is adapted to each task ...
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10/25/2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Privacy concerns have attracted increasing attention in data-driven prod...
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07/11/2022
Bootstrapping a User-Centered Task-Oriented Dialogue System
We present TacoBot, a task-oriented dialogue system built for the inaugu...
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06/10/2022
𝖦^2𝖱𝖾𝗍𝗋𝗈: Two-Step Graph Generative Models for Retrosynthesis Prediction
Retrosynthesis is a procedure where a molecule is transformed into poten...
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05/05/2022
Cooperative Reflection and Synchronization Design for Distributed Multiple-RIS Communications
To reap the promised gain achieved by distributed reconfigurable intelli...
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03/16/2022
Synthetic Question Value Estimation for Domain Adaptation of Question Answering
Synthesizing QA pairs with a question generator (QG) on the target domai...
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03/16/2022
Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
The strong few-shot in-context learning capability of large pre-trained ...
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03/16/2022
Shepherd Pre-trained Language Models to Develop a Train of Thought: An Iterative Prompting Approach
While Pre-trained Language Models (PLMs) internalize a great amount of w...
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12/14/2021
TopNet: Learning from Neural Topic Model to Generate Long Stories
Long story generation (LSG) is one of the coveted goals in natural langu...
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10/15/2021
Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction
Existing studies on semantic parsing focus primarily on mapping a natura...
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09/10/2021
ReasonBERT: Pre-trained to Reason with Distant Supervision
We present ReasonBert, a pre-training method that augments language mode...
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07/27/2021
Cooperative Reflection Design with Timing Offsets in Distributed Multi-RIS Communications
This letter investigates a wireless communication system deploying distr...
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06/02/2021
Differential Privacy for Text Analytics via Natural Text Sanitization
Texts convey sophisticated knowledge. However, texts also convey sensiti...
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01/28/2021
Learning Structural Edits via Incremental Tree Transformations
While most neural generative models generate outputs in a single pass, t...
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10/30/2020
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering
Clinical question answering (QA) aims to automatically answer questions ...
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10/24/2020
COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval
We present a large challenging dataset, COUGH, for COVID-19 FAQ retrieva...
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10/24/2020
Structure-Grounded Pretraining for Text-to-SQL
Learning to capture text-table alignment is essential for table related ...
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10/22/2020
Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems
Intelligent reflect surface (IRS) is a potential technology to build pro...
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10/19/2020
Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
Code retrieval is a key task aiming to match natural and programming lan...
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10/07/2020
Learning a Cost-Effective Annotation Policy for Question Answering
State-of-the-art question answering (QA) relies upon large amounts of tr...
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10/02/2020
Cascaded Channel Estimation for IRS-assisted Mmwave Multi-antenna with Quantized Beamforming
In this letter, we optimize the channel estimator of the cascaded channe...
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07/02/2020
Joint Passive Beamforming and User Association Optimization for IRS-assisted mmWave Systems
In this paper, we investigate an intelligent reflect surface (IRS) assis...
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06/26/2020
TURL: Table Understanding through Representation Learning
Relational tables on the Web store a vast amount of knowledge. Owing to ...
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05/02/2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics
Nowadays, the interpretability of machine learning models is becoming in...
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05/02/2020
An Imitation Game for Learning Semantic Parsers from User Interaction
Despite the widely successful applications, bootstrapping and fine-tunin...
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05/01/2020
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset
Machine reading comprehension has made great progress in recent years ow...
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03/06/2020
Practical Annotation Strategies for Question Answering Datasets
Annotating datasets for question answering (QA) tasks is very costly, as...
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12/05/2019
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation
This paper makes one of the first efforts toward automatically generatin...
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11/22/2019
An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Routing newly posted questions (a.k.a cold questions) to potential answe...
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10/11/2019
Model-based Interactive Semantic Parsing: A Unified Framework and A Text-to-SQL Case Study
As a promising paradigm, interactive semantic parsing has shown to impro...
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09/20/2019
Automatic Table completion using Knowledge Base
Table is a popular data format to organize and present relational inform...
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09/13/2019
Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
Distant supervision (DS) has been widely used to automatically construct...
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07/29/2019
Reinforced Dynamic Reasoning for Conversational Question Generation
This paper investigates a new task named Conversational Question Generat...
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06/21/2019
SurfCon: Synonym Discovery on Privacy-Aware Clinical Data
Unstructured clinical texts contain rich health-related information. To ...
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06/12/2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Motivation: Graph embedding learning which aims to automatically learn l...
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03/13/2019
CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning
To accelerate software development, much research has been performed to ...
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08/21/2018
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning
Given a text description, most existing semantic parsers synthesize a pr...
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03/26/2018
