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09/19/2023
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
To solve complex tasks, large language models (LLMs) often require multi...
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09/08/2023
Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models
Vision-language models (VLMs) have recently demonstrated strong efficacy...
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08/30/2023
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
In recent years, there have been remarkable advancements in the performa...
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07/21/2023
Making Pre-trained Language Models both Task-solvers and Self-calibrators
Pre-trained language models (PLMs) serve as backbones for various real-w...
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07/11/2023
Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Human intelligence thrives on the concept of cognitive synergy, where co...
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07/05/2023
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification
Event schemas are a form of world knowledge about the typical progressio...
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06/27/2023
C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation
Existing reference-free turn-level evaluation metrics for chatbots inade...
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06/07/2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations
This paper reexamines the research on out-of-distribution (OOD) robustne...
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06/01/2023
OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking
Open-vocabulary state tracking is a more practical version of state trac...
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05/29/2023
Self Information Update for Large Language Models through Mitigating Exposure Bias
Current LLMs have demonstrated remarkable capabilities in addressing use...
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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...
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05/27/2023
Non-Sequential Graph Script Induction via Multimedia Grounding
Online resources such as WikiHow compile a wide range of scripts for per...
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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...
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05/25/2023
Measuring the Effect of Influential Messages on Varying Personas
Predicting how a user responds to news events enables important applicat...
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05/24/2023
Meta-review Generation with Checklist-guided Iterative Introspection
Opinions in the scientific domain can be divergent, leading to controver...
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05/23/2023
Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization
Existing factual consistency evaluation approaches for text summarizatio...
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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...
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05/23/2023
ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media
Considerable advancements have been made to tackle the misrepresentation...
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05/22/2023
LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space
In recent years, large language models (LMs) have achieved remarkable pr...
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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...
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05/22/2023
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Probabilistic logical rule learning has shown great strength in logical ...
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05/21/2023
Understanding the Effect of Data Augmentation on Knowledge Distillation
Knowledge distillation (KD) requires sufficient data to transfer knowled...
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05/19/2023
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval
Neural information retrieval often adopts a retrieve-and-rerank framewor...
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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...
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05/18/2023
Paxion: Patching Action Knowledge in Video-Language Foundation Models
Action knowledge involves the understanding of textual, visual, and temp...
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05/17/2023
LeTI: Learning to Generate from Textual Interactions
Finetuning pre-trained language models (LMs) enhances the models' capabi...
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05/13/2023
Zero-shot Faithful Factual Error Correction
Faithfully correcting factual errors is critical for maintaining the int...
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04/17/2023
Tool Learning with Foundation Models
Humans possess an extraordinary ability to create and utilize tools, all...
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03/25/2023
SmartBook: AI-Assisted Situation Report Generation
Emerging events, such as the COVID pandemic and the Ukraine Crisis, requ...
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03/16/2023
GLEN: General-Purpose Event Detection for Thousands of Types
The development of event extraction systems has been hindered by the abs...
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02/25/2023
Human-in-the-Loop Schema Induction
Schema induction builds a graph representation explaining how events unf...
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01/22/2023
Ensemble Transfer Learning for Multilingual Coreference Resolution
Entity coreference resolution is an important research problem with many...
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12/02/2022
SumREN: Summarizing Reported Speech about Events in News
A primary objective of news articles is to establish the factual record ...
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11/30/2022
Open Relation and Event Type Discovery with Type Abstraction
Conventional closed-world information extraction (IE) approaches rely on...
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11/14/2022
Retrieval-Augmented Generative Question Answering for Event Argument Extraction
Event argument extraction has long been studied as a sequential predicti...
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11/10/2022
ADEPT: A DEbiasing PrompT Framework
Several works have proven that finetuning is an applicable approach for ...
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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...
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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...
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11/03/2022
Open-Vocabulary Argument Role Prediction for Event Extraction
The argument role in event extraction refers to the relation between an ...
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10/31/2022
A Close Look into the Calibration of Pre-trained Language Models
Pre-trained language models (PLMs) achieve remarkable performance on man...
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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...
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10/23/2022
Language Model Pre-Training with Sparse Latent Typing
Modern large-scale Pre-trained Language Models (PLMs) have achieved trem...
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10/22/2022
Weakly-Supervised Temporal Article Grounding
Given a long untrimmed video and natural language queries, video groundi...
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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...
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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...
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10/09/2022
Learning to Decompose Visual Features with Latent Textual Prompts
Recent advances in pre-training vision-language models like CLIP have sh...
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10/01/2022
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks
Although large language models have achieved impressive zero-shot abilit...
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09/18/2022
Dynamic Global Memory for Document-level Argument Extraction
Extracting informative arguments of events from news articles is a chall...
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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...
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08/31/2022