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09/11/2023
Large Language Model for Science: A Study on P vs. NP
In this work, we use large language models (LLMs) to augment and acceler...
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09/05/2023
Making Large Language Models Better Reasoners with Alignment
Reasoning is a cognitive process of using evidence to reach a sound conc...
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05/29/2023
Large Language Models are not Fair Evaluators
We uncover a systematic bias in the evaluation paradigm of adopting larg...
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05/25/2023
Learn to Not Link: Exploring NIL Prediction in Entity Linking
Entity linking models have achieved significant success via utilizing pr...
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05/24/2023
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
Recently, Pretrained Language Models (PLMs) have been serving as general...
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05/24/2023
Bi-Drop: Generalizable Fine-tuning for Pre-trained Language Models via Adaptive Subnetwork Optimization
Pretrained language models have achieved remarkable success in a variety...
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05/24/2023
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion
Video multimodal fusion aims to integrate multimodal signals in videos, ...
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05/17/2023
Statistical Knowledge Assessment for Generative Language Models
Generative Language Models (GLMs) have demonstrated capabilities to stor...
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05/12/2023
RepCL: Exploring Effective Representation for Continual Text Classification
Continual learning (CL) aims to constantly learn new knowledge over time...
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05/08/2023
Enhancing Continual Relation Extraction via Classifier Decomposition
Continual relation extraction (CRE) models aim at handling emerging new ...
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12/31/2022
A Survey for In-context Learning
With the increasing ability of large language models (LLMs), in-context ...
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12/20/2022
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers
Large pretrained language models have shown surprising In-Context Learni...
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12/19/2022
Statistical Dataset Evaluation: Reliability, Difficulty, and Validity
Datasets serve as crucial training resources and model performance track...
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12/14/2022
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
Harvesting question-answer (QA) pairs from customer service chatlog in t...
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10/20/2022
DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection
While interacting with chatbots, users may elicit multiple intents in a ...
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10/10/2022
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Continual relation extraction (CRE) aims to continually learn new relati...
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10/07/2022
Calibrating Factual Knowledge in Pretrained Language Models
Previous literature has proved that Pretrained Language Models (PLMs) ca...
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09/01/2022
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach
Continual relation extraction (CRE) requires the model to continually le...
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07/31/2022
Neural Knowledge Bank for Pretrained Transformers
The ability of pretrained Transformers to remember factual knowledge is ...
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05/02/2022
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
Fine-tuning pretrained language models (PLMs) on downstream tasks has be...
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04/30/2022
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction
Most previous studies aim at extracting events from a single sentence, w...
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04/28/2022
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
Hierarchical text classification (HTC) is a challenging subtask of multi...
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04/19/2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
As Abstract Meaning Representation (AMR) implicitly involves compound se...
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04/18/2022
StableMoE: Stable Routing Strategy for Mixture of Experts
The Mixture-of-Experts (MoE) technique can scale up the model size of Tr...
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04/15/2022
Mixture of Experts for Biomedical Question Answering
Biomedical Question Answering (BQA) has attracted increasing attention i...
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03/30/2022
Lossless Speedup of Autoregressive Translation with Generalized Aggressive Decoding
In this paper, we propose Generalized Aggressive Decoding (GAD) – a nove...
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10/15/2021
Hierarchical Curriculum Learning for AMR Parsing
Abstract Meaning Representation (AMR) parsing translates sentences to th...
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09/27/2021
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling
Few-Shot Sequence Labeling (FSSL) is a canonical solution for the taggin...
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08/29/2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Few-Shot Event Classification (FSEC) aims at developing a model for even...
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06/21/2021
Explicit Interaction Network for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to recognize targets, th...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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04/20/2021
Problems and Countermeasures in Natural Language Processing Evaluation
Evaluation in natural language processing guides and promotes research o...
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04/18/2021
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
Large pretrained generative models like GPT-3 often suffer from hallucin...
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04/18/2021
Knowledge Neurons in Pretrained Transformers
Large-scale pretrained language models are surprisingly good at recallin...
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03/26/2021
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension
Conventional Machine Reading Comprehension (MRC) has been well-addressed...
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02/17/2021
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View
In open domain table-to-text generation, we notice that the unfaithful g...
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12/04/2020
Coarse-to-Fine Entity Representations for Document-level Relation Extraction
Document-level Relation Extraction (RE) requires extracting relations ex...
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10/08/2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference
The prior work on natural language inference (NLI) debiasing mainly targ...
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10/08/2020
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference
While discriminative neural network classifiers are generally preferred,...
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09/27/2020
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
Conventional Knowledge Graph Completion (KGC) assumes that all test enti...
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03/05/2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Many recent studies have shown that for models trained on datasets for n...
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03/03/2020
XGPT: Cross-modal Generative Pre-Training for Image Captioning
While many BERT-based cross-modal pre-trained models produce excellent r...
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03/02/2020
Multi-View Learning for Vision-and-Language Navigation
Learning to navigate in a visual environment following natural language ...
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10/24/2019
Pun-GAN: Generative Adversarial Network for Pun Generation
In this paper, we focus on the task of generating a pun sentence given a...
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05/24/2019
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer
Unsupervised text style transfer aims to transfer the underlying style o...
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05/21/2018
Incorporating Glosses into Neural Word Sense Disambiguation
Word Sense Disambiguation (WSD) aims to identify the correct meaning of ...
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11/27/2017
Table-to-text Generation by Structure-aware Seq2seq Learning
Table-to-text generation aims to generate a description for a factual ta...
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09/01/2017
Order-Planning Neural Text Generation From Structured Data
Generating texts from structured data (e.g., a table) is important for v...
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02/22/2017
Improving Chinese SRL with Heterogeneous Annotations
Previous studies on Chinese semantic role labeling (SRL) have concentrat...
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03/09/2016
