9 citations · 40 across the 14 of their papers we have counts for
14 papers
Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini
Madhuri Shanbhogue, Zhe Li, Shanfeng Zhang +86
We introduce Gemini Embedding 2, a native multimodal embedding model that allows embedding video, audio, image, and text modalities in a unified representation space. We leverage t…
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
Shen Gao, Zhengliang Shi, Minghang Zhu +6
Augmenting large language models (LLMs) with external tools has emerged as a promising approach to extending the capability of LLMs. Although some works employ open-source LLMs for…
SSP: Self-Supervised Post-training for Conversational Search
Quan Tu, Shen Gao, Xiaolong Wu +3
Conversational search has been regarded as the next-generation search paradigm. Constrained by data scarcity, most existing methods distill the well-trained ad-hoc retriever to the…
Contrastive Learning Reduces Hallucination in Conversations
Weiwei Sun, Zhengliang Shi, Shen Gao +3
Pre-trained language models (LMs) store knowledge in their parameters and can generate informative responses when used in conversational systems. However, LMs suffer from the probl…
Neural Machine Translation with Contrastive Translation Memories
Xin Cheng, Shen Gao, Lemao Liu +2
Retrieval-augmented Neural Machine Translation models have been successful in many translation scenarios. Different from previous works that make use of mutually similar but redund…
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling
Shen Gao, Yuchi Zhang, Yongliang Wang +4
Community Question Answering (CQA) is a well-defined task that can be used in many scenarios, such as E-Commerce and online user community for special interests. In these communiti…
Learning to Respond with Your Favorite Stickers: A Framework of Unifying Multi-Modality and User Preference in Multi-Turn Dialog
Shen Gao, Xiuying Chen, Li Liu +2
Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by ma…
From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information
Shen Gao, Xiuying Chen, Zhaochun Ren +2
Text summarization is the research area aiming at creating a short and condensed version of the original document, which conveys the main idea of the document in a few words. This…
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog
Shen Gao, Xiuying Chen, Chang Liu +3
Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by ma…
RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search
Xiuying Chen, Daorui Xiao, Shen Gao +5
Sponsored search optimizes revenue and relevance, which is estimated by Revenue Per Mille (RPM). Existing sponsored search models are all based on traditional statistical models, w…
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao, Xiuying Chen, Piji Li +3
Under special circumstances, summaries should conform to a particular style with patterns, such as court judgments and abstracts in academic papers. To this end, the prototype docu…
Product-Aware Answer Generation in E-Commerce Question-Answering
Shen Gao, Zhaochun Ren, Yihong Eric Zhao +3
In e-commerce portals, generating answers for product-related questions has become a crucial task. In this paper, we propose the task of product-aware answer generation, which tend…
Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li +4
In neural abstractive summarization field, conventional sequence-to-sequence based models often suffer from summarizing the wrong aspect of the document with respect to the main as…
Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen, Shen Gao, Chongyang Tao +3
In this paper, we introduce Iterative Text Summarization (ITS), an iteration-based model for supervised extractive text summarization, inspired by the observation that it is often…