Shi Feng | DeepAI

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Wei Chen
332 publications
Hinrich Schütze
170 publications
Shafiq Joty
118 publications
Ming Zhou
107 publications
Qian Li
80 publications
Sameer Singh
77 publications
Soheil Feizi
76 publications
Dan Klein
76 publications
Soujanya Poria
75 publications
Mu Li
73 publications
Shujie Liu
59 publications

∙ 07/29/2023

RoCar: A Relationship Network-based Evaluation Method to Large Language Models

Large language models (LLMs) have received increasing attention. However...

0 Ming Wang, et al. ∙

∙ 06/05/2023

Machine learning feature discovery of spinon Fermi surface

With rapid progress in simulation of strongly interacting quantum Hamilt...

0 Kevin Zhang, et al. ∙

∙ 05/24/2023

Evaluate What You Can't Evaluate: Unassessable Generated Responses Quality

LLMs (large language models) such as ChatGPT have shown remarkable langu...

0 Yongkang Liu, et al. ∙

∙ 05/17/2023

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt

We have witnessed the rapid proliferation of multimodal data on numerous...

0 Xiaocui Yang, et al. ∙

∙ 01/31/2023

Combinatorial Causal Bandits without Graph Skeleton

In combinatorial causal bandits (CCB), the learning agent chooses a subs...

0 Shi Feng, et al. ∙

∙ 12/18/2022

PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism

We investigate response generation for multi-turn dialogue in generative...

0 Yongkang Liu, et al. ∙

∙ 11/12/2022

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts

Multimodal sentiment analysis is a trending topic with the explosion of ...

0 Xiaocui Yang, et al. ∙

∙ 11/08/2022

Active Example Selection for In-Context Learning

With a handful of demonstration examples, large-scale language models sh...

0 Yiming Zhang, et al. ∙

∙ 11/08/2022

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning

Sparsity of formal knowledge and roughness of non-ontological constructi...

0 Qian Li, et al. ∙

∙ 10/25/2022

DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection

Current end-to-end retrieval-based dialogue systems are mainly based on ...

0 Yongkang Liu, et al. ∙

∙ 08/18/2022

MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation

Building dialogue generation systems in a zero-shot scenario remains a h...

0 Yongkang Liu, et al. ∙

∙ 08/08/2022

Peer Prediction for Learning Agents

Peer prediction refers to a collection of mechanisms for eliciting infor...

0 Shi Feng, et al. ∙

∙ 06/04/2022

Combinatorial Causal Bandits

In combinatorial causal bandits (CCB), the learning agent chooses at mos...

0 Shi Feng, et al. ∙

∙ 02/08/2022

Machine Explanations and Human Understanding

Explanations are hypothesized to improve human understanding of machine ...

0 Chacha Chen, et al. ∙

∙ 02/19/2021

Calibrate Before Use: Improving Few-Shot Performance of Language Models

GPT-3 can perform numerous tasks when provided a natural language prompt...

6 Tony Z. Zhao, et al. ∙

∙ 12/21/2020

A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training

We investigate response selection for multi-turn conversation in retriev...

0 Yongkang Liu, et al. ∙

∙ 10/23/2020

Customizing Triggers with Concealed Data Poisoning

Adversarial attacks alter NLP model predictions by perturbing test-time ...

0 Eric Wallace, et al. ∙

∙ 08/20/2019

Universal Adversarial Triggers for Attacking and Analyzing NLP

Adversarial examples highlight model vulnerabilities and are useful for ...

0 Eric Wallace, et al. ∙

∙ 08/20/2019

Universal Adversarial Triggers for NLP

Adversarial examples highlight model vulnerabilities and are useful for ...

0 Eric Wallace, et al. ∙

∙ 05/14/2019

Misleading Failures of Partial-input Baselines

Recent work establishes dataset difficulty and removes annotation artifa...

0 Shi Feng, et al. ∙

∙ 04/09/2019

Quizbowl: The Case for Incremental Question Answering

Quizbowl is a scholastic trivia competition that tests human knowledge a...

0 Pedro Rodriguez, et al. ∙

∙ 02/01/2019

Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation

Current methods to interpret deep learning models by generating saliency...

2 Sahil Singla, et al. ∙

∙ 10/23/2018

What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play

Machine learning is an important tool for decision making, but its ethic...

0 Shi Feng, et al. ∙

∙ 09/08/2018

Interpreting Neural Networks With Nearest Neighbors

Local model interpretation methods explain individual predictions by ass...

0 Eric Wallace, et al. ∙

∙ 09/07/2018

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions

Modern natural language processing systems have been touted as approachi...

0 Eric Wallace, et al. ∙

∙ 04/20/2018

Right Answer for the Wrong Reason: Discovery and Mitigation

Exposing the weaknesses of neural models is crucial for improving their ...

0 Shi Feng, et al. ∙

∙ 08/03/2017

The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task

We describe the University of Maryland machine translation systems submi...

0 Amr Sharaf, et al. ∙

∙ 01/13/2016

Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model

Neural machine translation has shown very promising results lately. Most...

0 Shi Feng, et al. ∙

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