b'Dan Roth'

research

∙ 09/14/2023

ExpertQA: Expert-Curated Questions and Attributed Answers

As language models are adapted by a more sophisticated and diverse set o...

0 Chaitanya Malaviya, et al. ∙

research

∙ 08/10/2023

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning

We present a novel approach for structured data-to-text generation that ...

0 Alexander Hanbo Li, et al. ∙

research

∙ 08/09/2023

Building Interpretable and Reliable Open Information Retriever for New Domains Overnight

Information retrieval (IR) or knowledge retrieval, is a critical compone...

0 Xiaodong Yu, et al. ∙

research

∙ 07/08/2023

On Regularization and Inference with Label Constraints

Prior knowledge and symbolic rules in machine learning are often express...

0 Kaifu Wang, et al. ∙

research

∙ 06/30/2023

The Integer Linear Programming Inference Cookbook

Over the years, integer linear programs have been employed to model infe...

0 Vivek Srikumar, et al. ∙

research

∙ 06/29/2023

Towards Open-Domain Topic Classification

We introduce an open-domain topic classification system that accepts use...

0 Hantian Ding, et al. ∙

research

∙ 06/24/2023

Large Language Models as Sous Chefs: Revising Recipes with GPT-3

With their remarkably improved text generation and prompting capabilitie...

0 Alyssa Hwang, et al. ∙

research

∙ 06/23/2023

On Learning Latent Models with Multi-Instance Weak Supervision

We consider a weakly supervised learning scenario where the supervision ...

0 Kaifu Wang, et al. ∙

research

∙ 06/05/2023

A Static Evaluation of Code Completion by Large Language Models

Large language models trained on code have shown great potential to incr...

0 Hantian Ding, et al. ∙

research

∙ 05/30/2023

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge

The open-ended Visual Question Answering (VQA) task requires AI models t...

0 XingYu Fu, et al. ∙

research

∙ 05/26/2023

Characterizing and Measuring Linguistic Dataset Drift

NLP models often degrade in performance when real world data distributio...

0 Tyler A. Chang, et al. ∙

research

∙ 05/24/2023

Interpretable by Design Visual Question Answering

Model interpretability has long been a hard problem for the AI community...

0 XingYu Fu, et al. ∙

research

∙ 05/22/2023

Taxonomy Expansion for Named Entity Recognition

Training a Named Entity Recognition (NER) model often involves fixing a ...

0 Karthikeyan K, et al. ∙

research

∙ 05/22/2023

Open-Domain Event Graph Induction for Mitigating Framing Bias

Researchers have proposed various information extraction (IE) techniques...

0 Siyi Liu, et al. ∙

research

∙ 05/18/2023

Comparing Biases and the Impact of Multilingual Training across Multiple Languages

Studies in bias and fairness in natural language processing have primari...

0 Sharon Levy, et al. ∙

research

∙ 04/20/2023

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases

Named Entity Recognition (NER) is a core natural language processing tas...

5 Iker García-Ferrero, et al. ∙

research

∙ 04/06/2023

Towards Corpus-Scale Discovery of Selection Biases in News Coverage: Comparing What Sources Say About Entities as a Start

News sources undergo the process of selecting newsworthy information whe...

0 Sihao Chen, et al. ∙

research

∙ 02/16/2023

GLUECons: A Generic Benchmark for Learning Under Constraints

Recent research has shown that integrating domain knowledge into deep le...

0 Hossein Rajaby Faghihi, et al. ∙

research

∙ 02/16/2023

Conversation Style Transfer using Few-Shot Learning

Conventional text style transfer approaches for natural language focus o...

0 Shamik Roy, et al. ∙

research

∙ 02/13/2023

STREET: A Multi-Task Structured Reasoning and Explanation Benchmark

We introduce STREET, a unified multi-task and multi-domain natural langu...

0 Danilo Ribeiro, et al. ∙

research

∙ 12/31/2022

Rethinking with Retrieval: Faithful Large Language Model Inference

Despite the success of large language models (LLMs) in various natural l...

0 Hangfeng He, et al. ∙

research

∙ 12/20/2022

ReCode: Robustness Evaluation of Code Generation Models

Code generation models have achieved impressive performance. However, th...

0 Shiqi Wang, et al. ∙

research

∙ 12/20/2022

In and Out-of-Domain Text Adversarial Robustness via Label Smoothing

Recently it has been shown that state-of-the-art NLP models are vulnerab...

0 Yahan Yang, et al. ∙

research

∙ 12/20/2022

CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context

While pre-trained language models (LM) for code have achieved great succ...

0 Yangruibo Ding, et al. ∙

research

∙ 12/20/2022

Dialog2API: Task-Oriented Dialogue with API Description and Example Programs

Functionality and dialogue experience are two important factors of task-...

0 Raphael Shu, et al. ∙

research

∙ 12/19/2022

Privacy Adhering Machine Un-learning in NLP

Regulations introduced by General Data Protection Regulation (GDPR) in t...

0 Vinayshekhar Bannihatti Kumar, et al. ∙

research

∙ 12/18/2022

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale

Language models have been shown to perform better with an increase in sc...

0 Hritik Bansal, et al. ∙

research

∙ 12/06/2022

LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval

Natural language inference has trended toward studying contexts beyond t...

0 William Bruno, et al. ∙

research

∙ 11/29/2022

Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022

Many recent studies have probed status bias in the peer-review process o...

0 Chang Chen, et al. ∙

research

∙ 11/07/2022

Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach

Double-blind peer review mechanism has become the skeleton of academic r...

0 Jiayao Zhang, et al. ∙

research

∙ 10/30/2022

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts

Explicit decomposition modeling, which involves breaking down complex ta...

0 Ben Zhou, et al. ∙

research

∙ 10/26/2022

Multi-lingual Evaluation of Code Generation Models

We present MBXP, an execution-based code completion benchmark in 10+ pro...

0 Ben Athiwaratkun, et al. ∙

research

∙ 10/22/2022

On the Limitations of Reference-Free Evaluations of Generated Text

There is significant interest in developing evaluation metrics which acc...

0 Daniel Deutsch, et al. ∙

research

∙ 10/12/2022

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

Aspect-based Sentiment Analysis (ABSA) is a fine-grained sentiment analy...

8 Siddharth Varia, et al. ∙

research

∙ 10/12/2022

Zero-Shot On-the-Fly Event Schema Induction

What are the events involved in a pandemic outbreak? What steps should b...

0 Rotem Dror, et al. ∙

research

∙ 10/12/2022

CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm

Recently, the community has achieved substantial progress on many common...

9 Hongming Zhang, et al. ∙

research

∙ 10/11/2022

Cross-Lingual Speaker Identification Using Distant Supervision

Speaker identification, determining which character said each utterance ...

0 Ben Zhou, et al. ∙

research

∙ 10/10/2022

Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction

In this paper, we seek to improve the faithfulness of TempRel extraction...

0 Haoyu Wang, et al. ∙

research

∙ 10/08/2022

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events

Natural language often describes events in different granularities, such...

0 Hongming Zhang, et al. ∙

research

∙ 10/07/2022

Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters

Research has shown that personality is a key driver to improve engagemen...

0 Vinayshekhar Bannihatti Kumar, et al. ∙

research

∙ 05/18/2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner

Large language models have achieved high performance on various question...

0 Danilo Ribeiro, et al. ∙

research

∙ 04/29/2022

Repro: An Open-Source Library for Improving the Reproducibility and Usability of Publicly Available Research Code

We introduce Repro, an open-source library which aims at improving the r...

0 Daniel Deutsch, et al. ∙

research

∙ 04/21/2022

Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics

How reliably an automatic summarization evaluation metric replicates hum...

0 Daniel Deutsch, et al. ∙

research

∙ 04/21/2022

Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics

Question answering-based summarization evaluation metrics must automatic...

0 Daniel Deutsch, et al. ∙

research

∙ 04/14/2022

Label Semantic Aware Pre-training for Few-shot Text Classification

In text classification tasks, useful information is encoded in the label...

0 Aaron Mueller, et al. ∙

research

∙ 03/21/2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization

Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...

0 Zheng Li, et al. ∙

research

∙ 03/16/2022

Label Semantics for Few Shot Named Entity Recognition

We study the problem of few shot learning for named entity recognition. ...

6 Jie Ma, et al. ∙

research

∙ 03/10/2022

Cross-modal Map Learning for Vision and Language Navigation

We consider the problem of Vision-and-Language Navigation (VLN). The maj...

0 Georgios Georgakis, et al. ∙

research

∙ 03/01/2022

There is a Time and Place for Reasoning Beyond the Image

Images are often more significant than only the pixels to human eyes, as...

0 XingYu Fu, et al. ∙

research

∙ 02/20/2022

Understanding Robust Generalization in Learning Regular Languages

A key feature of human intelligence is the ability to generalize beyond ...

0 Soham Dan, et al. ∙

Dan Roth

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