Search Results for author: Mingda Li

Found 24 papers, 8 papers with code

Technical Report on Shared Task in DialDoc21

no code implementations ACL (dialdoc) 2021 Jiapeng Li, Mingda Li, Longxuan Ma, Wei-Nan Zhang, Ting Liu

The task requires identifying the grounding knowledge in form of a document span for the next dialogue turn.

Data Augmentation

AI-driven materials design: a mini-review

no code implementations5 Feb 2025 Mouyang Cheng, Chu-Liang Fu, Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nguyen Tuan Hung, Mingda Li

Materials design is an important component of modern science and technology, yet traditional approaches rely heavily on trial-and-error and can be inefficient.

Unstructured Text Enhanced Open-domain Dialogue System: A Systematic Survey

no code implementations14 Nov 2024 Longxuan Ma, Mingda Li, Weinan Zhang, Jiapeng Li, Ting Liu

The retrieval models consist of Fusion, Matching, and Ranking modules, while the generative models comprise Dialogue and Knowledge Encoding, Knowledge Selection, and Response Generation modules.

Dialogue Generation Response Generation +2

Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue

no code implementations21 Oct 2024 Longxuan Ma, Jiapeng Li, Mingda Li, Wei-Nan Zhang, Ting Liu

The framework consists of two modules: the Policy planner leverages policy-aware dialogue representation to select knowledge and predict the policy of the response; the generator uses policy/knowledge-aware dialogue representation for response generation.

Dialogue Generation Dialogue Understanding +1

TRACE: Temporal Grounding Video LLM via Causal Event Modeling

1 code implementation8 Oct 2024 Yongxin Guo, Jingyu Liu, Mingda Li, Xiaoying Tang, Qingbin Liu, Xi Chen

To effectively handle various tasks simultaneously and enable zero-shot prediction, there is a growing trend in employing video LLMs for VTG tasks.

Text Generation Video Understanding

Enhancing Long Video Understanding via Hierarchical Event-Based Memory

no code implementations10 Sep 2024 Dingxin Cheng, Mingda Li, Jingyu Liu, Yongxin Guo, Bin Jiang, Qingbin Liu, Xi Chen, Bo Zhao

While this method excels in short video understanding, it may result in a blend of multiple event information in long videos due to coarse compression, which causes information redundancy.

Video Understanding

Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer

no code implementations19 Aug 2024 Mingda Li, Abhijit Mishra, Utkarsh Mujumdar

The use of Large Language Models (LLMs) for program code generation has gained substantial attention, but their biases and limitations with non-English prompts challenge global inclusivity.

Code Generation Data Augmentation +1

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates

no code implementations5 Jul 2024 Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk, Nguyen Tuan Hung, Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie, Robert J. Cava, Tommi S. Jaakkola, Yongqiang Cheng, Mingda Li

Since the properties of quantum materials are closely related to geometric patterns, our results indicate that SCIGEN provides a general framework for generating quantum materials candidates.

Unraveling and Mitigating Retriever Inconsistencies in Retrieval-Augmented Large Language Models

1 code implementation31 May 2024 Mingda Li, Xinyu Li, Yifan Chen, Wenfeng Xuan, Weinan Zhang

Although Retrieval-Augmented Large Language Models (RALMs) demonstrate their superiority in terms of factuality, they do not consistently outperform the original retrieval-free Language Models (LMs).

Open-Domain Question Answering Retrieval

VTG-LLM: Integrating Timestamp Knowledge into Video LLMs for Enhanced Video Temporal Grounding

1 code implementation22 May 2024 Yongxin Guo, Jingyu Liu, Mingda Li, Dingxin Cheng, Xiaoying Tang, Dianbo Sui, Qingbin Liu, Xi Chen, Kevin Zhao

Video Temporal Grounding (VTG) strives to accurately pinpoint event timestamps in a specific video using linguistic queries, significantly impacting downstream tasks like video browsing and editing.

Dense Video Captioning Highlight Detection +2

Through the Lens of Core Competency: Survey on Evaluation of Large Language Models

no code implementations15 Aug 2023 Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu

From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses.

Language Modeling Language Modelling +1

Tetris-inspired detector with neural network for radiation mapping

1 code implementation7 Feb 2023 Ryotaro Okabe, Shangjie Xue, Jiankai Yu, Tongtong Liu, Benoit Forget, Stefanie Jegelka, Gordon Kohse, Lin-wen Hu, Mingda Li

Here we present a computational framework using Tetris-inspired detector pixels and machine learning for radiation mapping.

Recent Progress in Conversational AI

no code implementations8 Apr 2022 Zijun Xue, Ruirui Li, Mingda Li

Conversational artificial intelligence (AI) is becoming an increasingly popular topic among industry and academia.

Topological Signatures in Nodal Semimetals through Neutron Scattering

no code implementations11 Jan 2021 Thanh Nguyen, Yoichiro Tsurimaki, Ricardo Pablo-Pedro, Grigory Bednik, Anuj Apte, Nina Andrejevic, Mingda Li

Topological nodal semimetals are known to host a variety of fascinating electronic properties due to the topological protection of the band-touching nodes.

Materials Science

Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention

no code implementations COLING 2020 Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza, Chengwei Su

The comparison shows that our model could recover the transcription by integrating the fragmented information among hypotheses and identifying the frequent error patterns of the ASR module, and even rewrite the query for a better understanding, which reveals the characteristic of multi-task learning of broadcasting knowledge.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +6

A Survey of Document Grounded Dialogue Systems (DGDS)

no code implementations17 Apr 2020 Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu

We believe that extracting unstructured document(s) information is the future trend of the DS because a great amount of human knowledge lies in these document(s).

Conversational Recommendation General Classification +1

Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses

no code implementations11 Jan 2020 Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza, Chengwei Su

The NLU module usually uses the first best interpretation of a given speech in downstream tasks such as domain and intent classification.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion

no code implementations18 Sep 2019 Ariyam Das, Youfu Li, Jin Wang, Mingda Li, Carlo Zaniolo

In the past, the semantic issues raised by the non-monotonic nature of aggregates often prevented their use in the recursive statements of logic programs and deductive databases.

BIG-bench Machine Learning

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