Search Results - "Min, Bonan"

SODA: Towards a framework for self optimization via demand adaptation in Peer-to-Peer networks by Haiyong Xie, Bonan Min, Yafei Dai

“…Peer-to-peer (P2P) applications have been consuming an increasingly significant fraction of Internet bandwidth. They are becoming a financial burden to…”
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Relation Extraction with Weak Supervision and Distributional Semantics by Min, Bonan

“…Relation Extraction aims at detecting and categorizing semantic relations between pairs of entities in unstructured text. It benefits an enormous number of…”
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i-DBF: an Improved Bloom Filter Representation Method on Dynamic Set by Jiacong Wang, Mingzhong Xiao, Jing Jiang, Bonan Min

“…Bloom filter is a simple space-efficient randomized data structure for representing a set in order to support membership queries, which uses an m-bit array to…”
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A simple, universal and scalable approach to migrate applications to hybrid network using ALG by Bonan Min, Mingzhong Xiao, Qinyuan Feng, Jiacong Wang, Jing Jiang

“…This paper presents a universal approach using application layer gateway (ALG) mechanism to enable applications supporting both IPv4 and IPv6 network, which is…”
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QueryBuilder: Human-in-the-Loop Query Development for Information Retrieval by Kandula, Hemanth, Karakos, Damianos, Qiu, Haoling, Rozonoyer, Benjamin, Soboroff, Ian, Tarlin, Lee, Min, Bonan

“…Frequently, users of an Information Retrieval (IR) system start with an overarching information need (a.k.a., an analytic task) and proceed to define…”
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A Multi-Modal Multilingual Benchmark for Document Image Classification by Fujinuma, Yoshinari, Varia, Siddharth, Sankaran, Nishant, Appalaraju, Srikar, Min, Bonan, Vyas, Yogarshi

“…Document image classification is different from plain-text document classification and consists of classifying a document by understanding the content and…”
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Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models by Wu, Zhengxuan, Zhang, Yuhao, Qi, Peng, Xu, Yumo, Han, Rujun, Zhang, Yian, Chen, Jifan, Min, Bonan, Huang, Zhiheng

“…Modern language models (LMs) need to follow human instructions while being faithful; yet, they often fail to achieve both. Here, we provide concrete evidence…”
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Exploring Contextualized Neural Language Models for Temporal Dependency Parsing by Ross, Hayley, Cai, Jonathon, Min, Bonan

“…Extracting temporal relations between events and time expressions has many applications such as constructing event timelines and time-related question…”
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RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering by Han, Rujun, Zhang, Yuhao, Qi, Peng, Xu, Yumo, Wang, Jenyuan, Liu, Lan, Wang, William Yang, Min, Bonan, Castelli, Vittorio

“…Question answering based on retrieval augmented generation (RAG-QA) is an important research topic in NLP and has a wide range of real-world applications…”
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Towards a Holistic Evaluation of LLMs on Factual Knowledge Recall by Yuan, Jiaqing, Pan, Lin, Hang, Chung-Wei, Guo, Jiang, Jiang, Jiarong, Min, Bonan, Ng, Patrick, Wang, Zhiguo

“…Large language models (LLMs) have shown remarkable performance on a variety of NLP tasks, and are being rapidly adopted in a wide range of use cases. It is…”
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From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification by Wang, Fei, Shang, Chao, Jain, Sarthak, Wang, Shuai, Ning, Qiang, Min, Bonan, Castelli, Vittorio, Benajiba, Yassine, Roth, Dan

“…User alignment is crucial for adapting general-purpose language models (LMs) to downstream tasks, but human annotations are often not available for all types…”
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ExcavatorCovid: Extracting Events and Relations from Text Corpora for Temporal and Causal Analysis for COVID-19 by Min, Bonan, Rozonoyer, Benjamin, Qiu, Haoling, Zamanian, Alexander, MacBride, Jessica

“…Timely responses from policy makers to mitigate the impact of the COVID-19 pandemic rely on a comprehensive grasp of events, their causes, and their impacts…”
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Open Domain Question Answering with Conflicting Contexts by Liu, Siyi, Ning, Qiang, Halder, Kishaloy, Xiao, Wei, Qi, Zheng, Htut, Phu Mon, Zhang, Yi, John, Neha Anna, Min, Bonan, Benajiba, Yassine, Roth, Dan

“…Open domain question answering systems frequently rely on information retrieved from large collections of text (such as the Web) to answer questions. However,…”
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Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning by Sainz, Oscar, Gonzalez-Dios, Itziar, de Lacalle, Oier Lopez, Min, Bonan, Agirre, Eneko

“…Recent work has shown that NLP tasks such as Relation Extraction (RE) can be recasted as Textual Entailment tasks using verbalizations, with strong performance…”
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ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations by Sainz, Oscar, Qiu, Haoling, de Lacalle, Oier Lopez, Agirre, Eneko, Min, Bonan

“…The current workflow for Information Extraction (IE) analysts involves the definition of the entities/relations of interest and a training corpus with…”
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FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction by Van Nguyen, Minh, Ngo, Nghia Trung, Min, Bonan, Nguyen, Thien Huu

“…This paper presents FAMIE, a comprehensive and efficient active learning (AL) toolkit for multilingual information extraction. FAMIE is designed to address a…”
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Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning by Li, Alexander Hanbo, Shang, Mingyue, Spiliopoulou, Evangelia, Ma, Jie, Ng, Patrick, Wang, Zhiguo, Min, Bonan, Wang, William, McKeown, Kathleen, Castelli, Vittorio, Roth, Dan, Xiang, Bing

“…We present a novel approach for structured data-to-text generation that addresses the limitations of existing methods that primarily focus on specific types of…”
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Rapid Customization for Event Extraction by Chan, Yee Seng, Fasching, Joshua, Qiu, Haoling, Min, Bonan

“…We present a system for rapidly customizing event extraction capability to find new event types and their arguments. The system allows a user to find, expand…”
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Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey by Min, Bonan, Ross, Hayley, Sulem, Elior, Veyseh, Amir Pouran Ben, Nguyen, Thien Huu, Sainz, Oscar, Agirre, Eneko, Heinz, Ilana, Roth, Dan

“…Large, pre-trained transformer-based language models such as BERT have drastically changed the Natural Language Processing (NLP) field. We present a survey of…”
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