b'Heng Ji'

research

∙ 05/29/2023

Self Information Update for Large Language Models through Mitigating Exposure Bias

Current LLMs have demonstrated remarkable capabilities in addressing use...

0 Pengfei Yu, et al. ∙

research

∙ 05/29/2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework

Textual adversarial attacks can discover models' weaknesses by adding se...

0 Yangyi Chen, et al. ∙

research

∙ 05/27/2023

Non-Sequential Graph Script Induction via Multimedia Grounding

Online resources such as WikiHow compile a wide range of scripts for per...

4 Yu Zhou, et al. ∙

research

∙ 05/27/2023

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning

With emerging online topics as a source for numerous new events, detecti...

0 Zhenrui Yue, et al. ∙

research

∙ 05/25/2023

Measuring the Effect of Influential Messages on Varying Personas

Predicting how a user responds to news events enables important applicat...

0 Chenkai Sun, et al. ∙

research

∙ 05/24/2023

Meta-review Generation with Checklist-guided Iterative Introspection

Opinions in the scientific domain can be divergent, leading to controver...

0 Qi Zeng, et al. ∙

research

∙ 05/23/2023

Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization

Existing factual consistency evaluation approaches for text summarizatio...

0 Hou Pong (Ken) Chan, et al. ∙

research

∙ 05/23/2023

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation

Large Language Models (LLMs) have demonstrated significant progress in u...

0 Cheng Qian, et al. ∙

research

∙ 05/23/2023

ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media

Considerable advancements have been made to tackle the misrepresentation...

0 Kung-Hsiang Huang, et al. ∙

research

∙ 05/22/2023

LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space

In recent years, large language models (LMs) have achieved remarkable pr...

0 Chi Han, et al. ∙

research

∙ 05/22/2023

In-Context Learning of Large Language Models Explained as Kernel Regression

Large language models (LLMs) have initiated a paradigm shift in transfer...

0 Chi Han, et al. ∙

research

∙ 05/22/2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning

Probabilistic logical rule learning has shown great strength in logical ...

0 Chi Han, et al. ∙

research

∙ 05/21/2023

Understanding the Effect of Data Augmentation on Knowledge Distillation

Knowledge distillation (KD) requires sufficient data to transfer knowled...

0 Ziqi Wang, et al. ∙

research

∙ 05/19/2023

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval

Neural information retrieval often adopts a retrieve-and-rerank framewor...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 05/19/2023

RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought

Large language Models (LLMs) have achieved promising performance on arit...

0 Tianci Xue, et al. ∙

research

∙ 05/18/2023

Paxion: Patching Action Knowledge in Video-Language Foundation Models

Action knowledge involves the understanding of textual, visual, and temp...

3 Zhenhailong Wang, et al. ∙

research

∙ 05/17/2023

LeTI: Learning to Generate from Textual Interactions

Finetuning pre-trained language models (LMs) enhances the models' capabi...

0 Xingyao Wang, et al. ∙

research

∙ 05/13/2023

Zero-shot Faithful Factual Error Correction

Faithfully correcting factual errors is critical for maintaining the int...

0 Kung-Hsiang Huang, et al. ∙

research

∙ 04/17/2023

Tool Learning with Foundation Models

Humans possess an extraordinary ability to create and utilize tools, all...

1 Yujia Qin, et al. ∙

research

∙ 03/25/2023

SmartBook: AI-Assisted Situation Report Generation

Emerging events, such as the COVID pandemic and the Ukraine Crisis, requ...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 03/16/2023

GLEN: General-Purpose Event Detection for Thousands of Types

The development of event extraction systems has been hindered by the abs...

0 Qiusi Zhan, et al. ∙

research

∙ 02/25/2023

Human-in-the-Loop Schema Induction

Schema induction builds a graph representation explaining how events unf...

0 Tianyi Zhang, et al. ∙

research

∙ 01/22/2023

Ensemble Transfer Learning for Multilingual Coreference Resolution

Entity coreference resolution is an important research problem with many...

0 Tuan Manh Lai, et al. ∙

research

∙ 12/02/2022

SumREN: Summarizing Reported Speech about Events in News

A primary objective of news articles is to establish the factual record ...

0 Revanth Gangi Reddy, et al. ∙

research

∙ 11/30/2022

Open Relation and Event Type Discovery with Type Abstraction

Conventional closed-world information extraction (IE) approaches rely on...

0 Sha Li, et al. ∙

research

∙ 11/14/2022

Retrieval-Augmented Generative Question Answering for Event Argument Extraction

Event argument extraction has long been studied as a sequential predicti...

0 Xinya Du, et al. ∙

research

∙ 11/10/2022

ADEPT: A DEbiasing PrompT Framework

Several works have proven that finetuning is an applicable approach for ...

0 Ke Yang, et al. ∙

research

∙ 11/07/2022

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations

Humans can classify an unseen category by reasoning on its language expl...

0 Chi Han, et al. ∙

research

∙ 11/03/2022

Video Event Extraction via Tracking Visual States of Arguments

Video event extraction aims to detect salient events from a video and id...

0 Guang Yang, et al. ∙

research

∙ 11/03/2022

Open-Vocabulary Argument Role Prediction for Event Extraction

The argument role in event extraction refers to the relation between an ...

0 Yizhu Jiao, et al. ∙

research

∙ 10/31/2022

A Close Look into the Calibration of Pre-trained Language Models

Pre-trained language models (PLMs) achieve remarkable performance on man...

0 Yangyi Chen, et al. ∙

research

∙ 10/23/2022

Code4Struct: Code Generation for Few-Shot Structured Prediction from Natural Language

Large Language Model (LLM) trained on the mixture of text and code has d...

0 Xingyao Wang, et al. ∙

research

∙ 10/23/2022

Language Model Pre-Training with Sparse Latent Typing

Modern large-scale Pre-trained Language Models (PLMs) have achieved trem...

0 Liliang Ren, et al. ∙

research

∙ 10/22/2022

Weakly-Supervised Temporal Article Grounding

Given a long untrimmed video and natural language queries, video groundi...

0 Long Chen, et al. ∙

research

∙ 10/21/2022

Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation

Knowledge distillation is one of the primary methods of transferring kno...

0 Ziqi Wang, et al. ∙

research

∙ 10/16/2022

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly

Norm discovery is important for understanding and reasoning about the ac...

0 Yi R. Fung, et al. ∙

research

∙ 10/09/2022

Learning to Decompose Visual Features with Latent Textual Prompts

Recent advances in pre-training vision-language models like CLIP have sh...

0 Feng Wang, et al. ∙

research

∙ 10/01/2022

Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks

Although large language models have achieved impressive zero-shot abilit...

5 Zhenhailong Wang, et al. ∙

research

∙ 09/18/2022

Dynamic Global Memory for Document-level Argument Extraction

Extracting informative arguments of events from news articles is a chall...

0 Xinya Du, et al. ∙

research

∙ 09/05/2022

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval

Fact-checking has gained increasing attention due to the widespread of f...

0 Kung-Hsiang Huang, et al. ∙

research

∙ 08/31/2022

Incorporating Task-specific Concept Knowledge into Script Learning

In this paper, we present Tetris, a new task of Goal-Oriented Script Com...

0 Chenkai Sun, et al. ∙

research

∙ 08/25/2022

Multimedia Generative Script Learning for Task Planning

Goal-oriented generative script learning aims to generate subsequent ste...

0 Qingyun Wang, et al. ∙

research

∙ 06/06/2022

Schema-Guided Event Graph Completion

We tackle a new task, event graph completion, which aims to predict miss...

0 Hongwei Wang, et al. ∙

research

∙ 06/05/2022

Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval

Multi-channel video-language retrieval require models to understand info...

0 Xudong Lin, et al. ∙

research

∙ 05/30/2022

EA^2E: Improving Consistency with Event Awareness for Document-Level Argument Extraction

Events are inter-related in documents. Motivated by the one-sense-per-di...

0 Qi Zeng, et al. ∙

research

∙ 05/23/2022

Seeded Hierarchical Clustering for Expert-Crafted Taxonomies

Practitioners from many disciplines (e.g., political science) use expert...

0 Anish Saha, et al. ∙

research

∙ 05/23/2022

What should I Ask: A Knowledge-driven Approach for Follow-up Questions Generation in Conversational Surveys

Conversational surveys, where an agent asks open-ended questions through...

0 Yubin Ge, et al. ∙

research

∙ 05/22/2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

The goal of this work is to build flexible video-language models that ca...

11 Zhenhailong Wang, et al. ∙

research

∙ 04/25/2022

Translation between Molecules and Natural Language

Joint representations between images and text have been deeply investiga...

0 Carl Edwards, et al. ∙

research

∙ 04/24/2022

Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval

We show that supervised neural information retrieval (IR) models are pro...

0 Revanth Gangi Reddy, et al. ∙

Heng Ji

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