Search Results for author: Song Feng

Found 29 papers, 9 papers with code

DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling

no code implementations dialdoc (ACL) 2022 Song Feng, Siva Patel, Hui Wan

The paper presents the results of the Shared Task hosted by the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering co-located at ACL 2022.

Conversational Question Answering

DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling

no code implementations ACL (dialdoc) 2021 Song Feng

We present the results of Shared Task at Workshop DialDoc 2021 that is focused on document-grounded dialogue and conversational question answering.

Conversational Question Answering

TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

1 code implementation20 Feb 2024 Liyan Tang, Igor Shalyminov, Amy Wing-mei Wong, Jon Burnsky, Jake W. Vincent, Yu'an Yang, Siffi Singh, Song Feng, Hwanjun Song, Hang Su, Lijia Sun, Yi Zhang, Saab Mansour, Kathleen McKeown

We find that there are diverse errors and error distributions in model-generated summaries and that non-LLM based metrics can capture all error types better than LLM-based evaluators.

Hallucination News Summarization +2

DFEE: Interactive DataFlow Execution and Evaluation Kit

1 code implementation4 Dec 2022 Han He, Song Feng, Daniele Bonadiman, Yi Zhang, Saab Mansour

DataFlow has been emerging as a new paradigm for building task-oriented chatbots due to its expressive semantic representations of the dialogue tasks.

Benchmarking Scheduling

SBbadger: Biochemical Reaction Networks with Definable Degree Distributions

no code implementations25 Feb 2022 Michael A. Kochen, H. Steven Wiley, Song Feng, Herbert M. Sauro

Motivation: An essential step in developing computational tools for the inference, optimization, and simulation of biochemical reaction networks is gauging tool performance against earlier efforts using an appropriate set of benchmarks.

Inference Optimization

DG2: Data Augmentation Through Document Grounded Dialogue Generation

no code implementations SIGDIAL (ACL) 2022 Qingyang Wu, Song Feng, Derek Chen, Sachindra Joshi, Luis A. Lastras, Zhou Yu

Collecting data for training dialog systems can be extremely expensive due to the involvement of human participants and need for extensive annotation.

Data Augmentation Dialogue Generation

MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents

1 code implementation EMNLP 2021 Song Feng, Siva Sankalp Patel, Hui Wan, Sachindra Joshi

We propose MultiDoc2Dial, a new task and dataset on modeling goal-oriented dialogues grounded in multiple documents.

Machine Reading Comprehension

Dynamics and Sensitivity of Signaling Pathways

1 code implementation13 Jun 2021 Michael A. Kochen, Steven S. Andrews, H. Steven Wiley, Song Feng, Herbert M. Sauro

Signaling pathways serve to communicate information about extracellular conditions into the cell, to both the nucleus and cytoplasmic processes to control cell responses.

Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks

1 code implementation NAACL 2021 Hanjie Chen, Song Feng, Jatin Ganhotra, Hui Wan, Chulaka Gunasekara, Sachindra Joshi, Yangfeng Ji

Most existing methods generate post-hoc explanations for neural network models by identifying individual feature attributions or detecting interactions between adjacent features.

Natural Language Inference Paraphrase Identification +1

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

2 code implementations EMNLP 2020 Song Feng, Hui Wan, Chulaka Gunasekara, Siva Sankalp Patel, Sachindra Joshi, Luis A. Lastras

We introduce doc2dial, a new dataset of goal-oriented dialogues that are grounded in the associated documents.

Hypergraph Models of Biological Networks to Identify Genes Critical to Pathogenic Viral Response

no code implementations6 Oct 2020 Song Feng, Emily Heath, Brett Jefferson, Cliff Joslyn, Henry Kvinge, Hugh D. Mitchell, Brenda Praggastis, Amie J. Eisfeld, Amy C. Sims, Larissa B. Thackray, Shufang Fan, Kevin B. Walters, Peter J. Halfmann, Danielle Westhoff-Smith, Qing Tan, Vineet D. Menachery, Timothy P. Sheahan, Adam S. Cockrell, Jacob F. Kocher, Kelly G. Stratton, Natalie C. Heller, Lisa M. Bramer, Michael S. Diamond, Ralph S. Baric, Katrina M. Waters, Yoshihiro Kawaoka, Jason E. McDermott, Emilie Purvine

Results: We compiled a novel data set of transcriptional host response to pathogenic viral infections and formulated relationships between genes as a hypergraph where hyperedges represent significantly perturbed genes, and vertices represent individual biological samples with specific experimental conditions.

Learning Lane Graph Representations for Motion Forecasting

1 code implementation ECCV 2020 Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

We propose a motion forecasting model that exploits a novel structured map representation as well as actor-map interactions.

Motion Forecasting Trajectory Prediction

Implicit Discourse Relation Classification: We Need to Talk about Evaluation

no code implementations ACL 2020 Najoung Kim, Song Feng, Chulaka Gunasekara, Luis Lastras

Implicit relation classification on Penn Discourse TreeBank (PDTB) 2. 0 is a common benchmark task for evaluating the understanding of discourse relations.

Classification General Classification +3

MultiXNet: Multiclass Multistage Multimodal Motion Prediction

no code implementations3 Jun 2020 Nemanja Djuric, Henggang Cui, Zhaoen Su, Shangxuan Wu, Huahua Wang, Fang-Chieh Chou, Luisa San Martin, Song Feng, Rui Hu, Yang Xu, Alyssa Dayan, Sidney Zhang, Brian C. Becker, Gregory P. Meyer, Carlos Vallespi-Gonzalez, Carl K. Wellington

One of the critical pieces of the self-driving puzzle is understanding the surroundings of a self-driving vehicle (SDV) and predicting how these surroundings will change in the near future.

motion prediction Position

Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries

1 code implementation NeurIPS 2019 Fuwen Tan, Paola Cascante-Bonilla, Xiaoxiao Guo, Hui Wu, Song Feng, Vicente Ordonez

We show that using multiple rounds of natural language queries as input can be surprisingly effective to find arbitrarily specific images of complex scenes.

Image Retrieval Natural Language Queries +1

Doc2Dial: a Framework for Dialogue Composition Grounded in Business Documents

no code implementations NeurIPS Workshop Document_Intelligen 2019 Song Feng, Kshitij Fadni, Q. Vera Liao, Luis A. Lastras

We introduce Doc2Dial, an end-to-end framework for generating conversational data grounded in business documents via crowdsourcing.

Chat-crowd: A Dialog-based Platform for Visual Layout Composition

no code implementations NAACL 2019 Paola Cascante-Bonilla, Xuwang Yin, Vicente Ordonez, Song Feng

In this paper we introduce Chat-crowd, an interactive environment for visual layout composition via conversational interactions.

Goal-Oriented Dialog

Text2Scene: Generating Compositional Scenes from Textual Descriptions

3 code implementations CVPR 2019 Fuwen Tan, Song Feng, Vicente Ordonez

In this paper, we propose Text2Scene, a model that generates various forms of compositional scene representations from natural language descriptions.

A Subpixel Registration Algorithm for Low PSNR Images

no code implementations31 Mar 2018 Song Feng, Linhua Deng, Guofeng Shu, Feng Wang, Hui Deng, Kaifan Ji

This paper presents a fast algorithm for obtaining high-accuracy subpixel translation of low PSNR images.


A Unified Implicit Dialog Framework for Conversational Search

no code implementations12 Feb 2018 Song Feng, R. Chulaka Gunasekara, Sunil Shashidhara, Kshitij P. Fadnis, Lazaros C. Polymenakos

We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications.

Conversational Search

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