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09/19/2023
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation
Recent years have witnessed the success of question answering (QA), espe...
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09/18/2023
Instant Photorealistic Style Transfer: A Lightweight and Adaptive Approach
In this paper, we propose an Instant Photorealistic Style Transfer (IPST...
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09/15/2023
Empowering Private Tutoring by Chaining Large Language Models
Artificial intelligence has been applied in various aspects of online ed...
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08/27/2023
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases
This paper proposes Text mAtching based SequenTial rEcommendation model ...
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08/24/2023
Large Language Model as Autonomous Decision Maker
While large language models (LLMs) exhibit impressive language understan...
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08/21/2023
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
Autonomous agents empowered by Large Language Models (LLMs) have undergo...
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08/14/2023
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Text evaluation has historically posed significant challenges, often dem...
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08/10/2023
LLM As DBA
Database administrators (DBAs) play a crucial role in managing, maintain...
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07/31/2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Despite the advancements of open-source large language models (LLMs) and...
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07/28/2023
Exploring Format Consistency for Instruction Tuning
Instruction tuning has emerged as a promising approach to enhancing larg...
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07/16/2023
Communicative Agents for Software Development
Software engineering is a domain characterized by intricate decision-mak...
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07/15/2023
CPET: Effective Parameter-Efficient Tuning for Compressed Large Language Models
Parameter-efficient tuning (PET) has been widely explored in recent year...
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07/05/2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
The scale of large pre-trained models (PTMs) poses significant challenge...
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07/05/2023
Won't Get Fooled Again: Answering Questions with False Premises
Pre-trained language models (PLMs) have shown unprecedented potential in...
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06/27/2023
Automatic Truss Design with Reinforcement Learning
Truss layout design, namely finding a lightweight truss layout satisfyin...
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06/21/2023
Interactive Molecular Discovery with Natural Language
Natural language is expected to be a key medium for various human-machin...
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06/15/2023
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
The unprecedented performance of large language models (LLMs) necessitat...
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06/12/2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
Event extraction (EE) is a crucial task aiming at extracting events from...
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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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06/04/2023
Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models
Parameter-efficient tuning (PET) methods can effectively drive extremely...
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05/31/2023
Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data
This paper presents Structure Aware Dense Retrieval (SANTA) model, which...
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05/31/2023
Exploring Lottery Prompts for Pre-trained Language Models
Consistently scaling pre-trained language models (PLMs) imposes substant...
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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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05/28/2023
Emergent Modularity in Pre-trained Transformers
This work examines the presence of modularity in pre-trained Transformer...
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05/28/2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Injecting external knowledge can improve the performance of pre-trained ...
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05/28/2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
Parameter-efficient tuning methods (PETs) have achieved promising result...
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05/28/2023
Plug-and-Play Document Modules for Pre-trained Models
Large-scale pre-trained models (PTMs) have been widely used in document-...
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05/27/2023
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In
Retrieval augmentation can aid language models (LMs) in knowledge-intens...
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05/24/2023
Fusion-in-T5: Unifying Document Ranking Signals for Improved Information Retrieval
Common IR pipelines are typically cascade systems that may involve multi...
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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
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Fine-tuning on instruction data has been widely validated as an effectiv...
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05/19/2023
Efficient Cross-Lingual Transfer for Chinese Stable Diffusion with Images as Pivots
Diffusion models have made impressive progress in text-to-image synthesi...
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05/15/2023
Recyclable Tuning for Continual Pre-training
Continual pre-training is the paradigm where pre-trained language models...
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05/11/2023
WebCPM: Interactive Web Search for Chinese Long-form Question Answering
Long-form question answering (LFQA) aims at answering complex, open-ende...
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05/04/2023
Revisiting Graph Contrastive Learning for Anomaly Detection
Combining Graph neural networks (GNNs) with contrastive learning for ano...
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05/02/2023
Transfer Visual Prompt Generator across LLMs
While developing a new vision-language LLM (VL-LLM) by pre-training on t...
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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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04/12/2023
Rethinking Dense Retrieval's Few-Shot Ability
Few-shot dense retrieval (DR) aims to effectively generalize to novel se...
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04/08/2023
Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder
The sequence-to-sequence (seq2seq) task aims at generating the target se...
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02/19/2023
Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference
How humans infer discrete emotions is a fundamental research question in...
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02/14/2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
For many real-world applications, the user-generated inputs usually cont...
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02/10/2023
Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data
Accurate detection of large-scale, elliptical-shape fibers, including th...
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12/16/2022
Decoder Tuning: Efficient Language Understanding as Decoding
With the evergrowing sizes of pre-trained models (PTMs), it has been an ...
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12/11/2022
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information
Anomaly detection is defined as discovering patterns that do not conform...
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11/22/2022
Visually Grounded Commonsense Knowledge Acquisition
Large-scale commonsense knowledge bases empower a broad range of AI appl...
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11/14/2022
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Transformer-based pre-trained language models have demonstrated superior...
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11/14/2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
The diverse relationships among real-world events, including coreference...
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11/10/2022
Few-shot Classification with Hypersphere Modeling of Prototypes
Metric-based meta-learning is one of the de facto standards in few-shot ...
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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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10/31/2022