8 citations · 23 across the 14 of their papers we have counts for
14 papers
Adaptive Loss Balancing for Noise-Robust GRPO in Generative Recommendation
Kewei Xu, Junbo Qi, Yanyan Zou +3
Reinforcement learning (RL) presents a promising avenue for enhancing generative recommendation beyond supervised imitation, leveraging reward signals to guide policy improvement.…
Automatic Scene-based Topic Channel Construction System for E-Commerce
Peng Lin, Yanyan Zou, Lingfei Wu +3
Scene marketing that well demonstrates user interests within a certain scenario has proved effective for offline shopping. To conduct scene marketing for e-commerce platforms, this…
Automatic Product Copywriting for E-Commerce
Xueying Zhang, Yanyan Zou, Hainan Zhang +10
Product copywriting is a critical component of e-commerce recommendation platforms. It aims to attract users' interest and improve user experience by highlighting product character…
Adaptive Bridge between Training and Inference for Dialogue
Haoran Xu, Hainan Zhang, Yanyan Zou +3
Although exposure bias has been widely studied in some NLP tasks, it faces its unique challenges in dialogue response generation, the representative one-to-various generation scena…
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
Xu Wang, Hainan Zhang, Shuai Zhao +5
Despite the success of neural dialogue systems in achieving high performance on the leader-board, they cannot meet users' requirements in practice, due to their poor reasoning skil…
Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
Junpeng Liu, Yanyan Zou, Hainan Zhang +4
Unlike well-structured text, such as news reports and encyclopedia articles, dialogue content often comes from two or more interlocutors, exchanging information with each other. In…
Pre-training for Abstractive Document Summarization by Reinstating Source Text
Yanyan Zou, Xingxing Zhang, Wei Lu +2
Abstractive document summarization is usually modeled as a sequence-to-sequence (Seq2Seq) learning problem. Unfortunately, training large Seq2Seq based summarization models on limi…
Mining Commonsense Facts from the Physical World
Yanyan Zou, Wei Lu, Xu Sun
Textual descriptions of the physical world implicitly mention commonsense facts, while the commonsense knowledge bases explicitly represent such facts as triples. Compared to drama…
Aligning Cross-Lingual Entities with Multi-Aspect Information
Hsiu-Wei Yang, Yanyan Zou, Peng Shi +3
Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent entities in different languages. The task of cross-lingual entity alignment is to match entities in a sourc…
Text2Math: End-to-end Parsing Text into Math Expressions
Yanyan Zou, Wei Lu
We propose Text2Math, a model for semantically parsing text into math expressions. The model can be used to solve different math related problems including arithmetic word problems…
Incorporating Fine-grained Events in Stock Movement Prediction
Deli Chen, Yanyan Zou, Keiko Harimoto +3
Considering event structure information has proven helpful in text-based stock movement prediction. However, existing works mainly adopt the coarse-grained events, which loses the…
Quantity Tagger: A Latent-Variable Sequence Labeling Approach to Solving Addition-Subtraction Word Problems
Yanyan Zou, Wei Lu
An arithmetic word problem typically includes a textual description containing several constant quantities. The key to solving the problem is to reveal the underlying mathematical…
Joint Detection and Location of English Puns
Yanyan Zou, Wei Lu
A pun is a form of wordplay for an intended humorous or rhetorical effect, where a word suggests two or more meanings by exploiting polysemy (homographic pun) or phonological simil…
Learning Cross-lingual Distributed Logical Representations for Semantic Parsing
Yanyan Zou, Wei Lu
With the development of several multilingual datasets used for semantic parsing, recent research efforts have looked into the problem of learning semantic parsers in a multilingual…