Search Results for author: Qi Zeng

Found 29 papers, 18 papers with code

C-PMI: Conditional Pointwise Mutual Information for Turn-level Dialogue Evaluation

1 code implementation27 Jun 2023 Liliang Ren, Mankeerat Sidhu, Qi Zeng, Revanth Gangi Reddy, Heng Ji, ChengXiang Zhai

Existing reference-free turn-level evaluation metrics for chatbots inadequately capture the interaction between the user and the system.

Dialogue Evaluation

Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning

no code implementations5 Jun 2023 Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani

While there are many definitions of fairness that could be applicable in the context of personalized systems, we present a framework which we call the Variance Reduction System (VRS) for achieving more equitable outcomes in Meta's ads systems.

Fairness Privacy Preserving +2

Interpretable Automatic Fine-grained Inconsistency Detection in Text Summarization

1 code implementation23 May 2023 Hou Pong Chan, Qi Zeng, Heng Ji

Motivated by how humans inspect factual inconsistency in summaries, we propose an interpretable fine-grained inconsistency detection model, FineGrainFact, which explicitly represents the facts in the documents and summaries with semantic frames extracted by semantic role labeling, and highlights the related semantic frames to predict inconsistency.

Semantic Role Labeling Text Summarization

SmartBook: AI-Assisted Situation Report Generation

1 code implementation25 Mar 2023 Revanth Gangi Reddy, Yi R. Fung, Qi Zeng, Manling Li, Ziqi Wang, Paul Sullivan, Heng Ji

Further, experiments show that expert analysts tend to add more information into the SmartBook reports, with only 2. 3% of the existing tokens being deleted, meaning SmartBook can serve as a useful foundation for analysts to build upon when creating intelligence reports.

Decision Making

Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning

1 code implementation30 May 2022 Yinglun Xu, Qi Zeng, Gagandeep Singh

We study reward poisoning attacks on online deep reinforcement learning (DRL), where the attacker is oblivious to the learning algorithm used by the agent and the dynamics of the environment.

Data Poisoning reinforcement-learning +1

Competitive Physics Informed Networks

1 code implementation23 Apr 2022 Qi Zeng, Yash Kothari, Spencer H. Bryngelson, Florian Schäfer

Neural networks can be trained to solve partial differential equations (PDEs) by using the PDE residual as the loss function.

Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences

1 code implementation NAACL 2022 Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang

Transformer-based models are not efficient in processing long sequences due to the quadratic space and time complexity of the self-attention modules.

Multifrequency 3D Elasticity Reconstruction withStructured Sparsity and ADMM

no code implementations23 Nov 2021 Shahed Mohammed, Mohammad Honarvar, Qi Zeng, Hoda Hashemi, Robert Rohling, Piotr Kozlowski, Septimiu Salcudean

We evaluate our new method in multiple in silico and phantom experiments, with comparisons with existing methods, and we show improvements in contrast to noise and signal to noise ratios.

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method

1 code implementation NeurIPS 2021 Yifan Chen, Qi Zeng, Heng Ji, Yun Yang

Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism.

A Web Scale Entity Extraction System

no code implementations Findings (EMNLP) 2021 Xuanting Cai, Quanbin Ma, Pan Li, Jianyu Liu, Qi Zeng, Zhengkan Yang, Pushkar Tripathi

Understanding the semantic meaning of content on the web through the lens of entities and concepts has many practical advantages.

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method

1 code implementation NeurIPS 2021 Yifan Chen, Qi Zeng, Heng Ji, Yun Yang

Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism.

Identify Influential Spreaders in Asymmetrically Interacting Multiplex Networks

no code implementations5 Jan 2021 Qi Zeng, Ying Liu, Liming Pan, Ming Tang

Our work provides insights on the importance of nodes in the multiplex network and gives a feasible framework to investigate influential spreaders in the asymmetrically coevolving dynamics.

Physics and Society

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis

1 code implementation INLG (ACL) 2020 Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani

To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories such as novelty and meaningful comparison.

Review Generation valid

Cross-media Structured Common Space for Multimedia Event Extraction

no code implementations ACL 2020 Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, Shih-Fu Chang

We introduce a new task, MultiMedia Event Extraction (M2E2), which aims to extract events and their arguments from multimedia documents.

Event Extraction

Short-term Load Forecasting with Dense Average Network

no code implementations8 Dec 2019 Zhifang Liao, Haihui Pan, Qi Zeng, Xiaoping Fan, Yan Zhang, Song Yu

Therefore, improving the accuracy of power load forecasting has always been the pursuing goals for a power system.

Load Forecasting

Text Assisted Insight Ranking Using Context-Aware Memory Network

no code implementations13 Nov 2018 Qi Zeng, Liangchen Luo, Wenhao Huang, Yang Tang

Extracting valuable facts or informative summaries from multi-dimensional tables, i. e. insight mining, is an important task in data analysis and business intelligence.

Learning Personalized End-to-End Goal-Oriented Dialog

no code implementations12 Nov 2018 Liangchen Luo, Wenhao Huang, Qi Zeng, Zaiqing Nie, Xu sun

Most existing works on dialog systems only consider conversation content while neglecting the personality of the user the bot is interacting with, which begets several unsolved issues.

Goal-Oriented Dialog

An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation

1 code implementation EMNLP 2018 Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu sun

Different from conventional text generation tasks, the mapping between inputs and responses in conversations is more complicated, which highly demands the understanding of utterance-level semantic dependency, a relation between the whole meanings of inputs and outputs.

Dialogue Generation

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

1 code implementation EMNLP 2018 Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu sun

Compared to the state-of-the-art models, our skeleton-based model can generate significantly more coherent text according to human evaluation and automatic evaluation.

Sentence Story Generation

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