b'Weinan Zhang'

research

∙ 08/22/2023

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

With large language models (LLMs) achieving remarkable breakthroughs in ...

0 Jianghao Lin, et al. ∙

research

∙ 08/15/2023

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

From pre-trained language model (PLM) to large language model (LLM), the...

0 Ziyu Zhuang, et al. ∙

research

∙ 08/03/2023

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

With the widespread application of personalized online services, click-t...

0 Jianghao Lin, et al. ∙

research

∙ 07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...

0 Qingyao Ai, et al. ∙

research

∙ 07/02/2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?

Due to the nature of risk management in learning applicable policies, ri...

0 Ruiwen Zhou, et al. ∙

research

∙ 06/15/2023

MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification

Prompting methods have shown impressive performance in a variety of text...

0 Hongyuan Dong, et al. ∙

research

∙ 06/15/2023

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

Industrial recommender systems face the challenge of operating in non-st...

0 Jieming Zhu, et al. ∙

research

∙ 06/09/2023

How Can Recommender Systems Benefit from Large Language Models: A Survey

Recommender systems (RS) play important roles to match users' informatio...

0 Jianghao Lin, et al. ∙

research

∙ 06/09/2023

I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset

A simile is a figure of speech that compares two different things (calle...

0 Longxuan Ma, et al. ∙

research

∙ 06/08/2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

Large language models (LLMs)have achieved great success in general domai...

0 Cheng Deng, et al. ∙

research

∙ 05/29/2023

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization

Reinforcement Learning (RL) has recently achieved remarkable success in ...

0 Haoran He, et al. ∙

research

∙ 05/29/2023

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Diffusion models have demonstrated highly-expressive generative capabili...

0 Haoran He, et al. ∙

research

∙ 05/27/2023

MADiff: Offline Multi-agent Learning with Diffusion Models

Diffusion model (DM), as a powerful generative model, recently achieved ...

0 Zhengbang Zhu, et al. ∙

research

∙ 05/16/2023

An Empirical Study on Google Research Football Multi-agent Scenarios

Few multi-agent reinforcement learning (MARL) research on Google Researc...

0 Yan Song, et al. ∙

research

∙ 04/14/2023

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph

The pandemic of COVID-19 has inspired extensive works across different r...

0 Cheng Deng, et al. ∙

research

∙ 04/03/2023

FMGNN: Fused Manifold Graph Neural Network

Graph representation learning has been widely studied and demonstrated e...

0 Cheng Deng, et al. ∙

research

∙ 02/19/2023

Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset

Real-world data usually exhibits a long-tailed distribution,with a few f...

0 Jiexing Qi, et al. ∙

research

∙ 02/02/2023

Visual Imitation Learning with Patch Rewards

Visual imitation learning enables reinforcement learning agents to learn...

0 Minghuan Liu, et al. ∙

research

∙ 12/18/2022

Multi-embodiment Legged Robot Control as a Sequence Modeling Problem

Robots are traditionally bounded by a fixed embodiment during their oper...

0 Chen Yu, et al. ∙

research

∙ 12/18/2022

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents

In reinforcement learning applications like robotics, agents usually nee...

0 Minghuan Liu, et al. ∙

research

∙ 12/15/2022

Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer

Deep reinforcement learning has recently emerged as an appealing alterna...

0 Hang Lai, et al. ∙

research

∙ 11/14/2022

NeurIPS 2022 Competition: Driving SMARTS

Driving SMARTS is a regular competition designed to tackle problems caus...

0 Amir Rasouli, et al. ∙

research

∙ 11/07/2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow

High-quality traffic flow generation is the core module in building simu...

0 Zhengbang Zhu, et al. ∙

research

∙ 10/12/2022

Reinforcement Learning with Automated Auxiliary Loss Search

A good state representation is crucial to solving complicated reinforcem...

0 Tairan He, et al. ∙

research

∙ 10/11/2022

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems

Recommender systems are expected to be assistants that help human users ...

0 Zhengbang Zhu, et al. ∙

research

∙ 08/17/2022

SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation

This paper introduces a novel Self-supervised Fine-grained Dialogue Eval...

0 Longxuan Ma, et al. ∙

research

∙ 08/14/2022

Forgetting Fast in Recommender Systems

Users of a recommender system may want part of their data being deleted,...

0 Wenyan Liu, et al. ∙

research

∙ 07/26/2022

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning

Deriving a good variable selection strategy in branch-and-bound is essen...

4 Zeren Huang, et al. ∙

research

∙ 06/17/2022

A Graph-Enhanced Click Model for Web Search

To better exploit search logs and model users' behavior patterns, numero...

0 Jianghao Lin, et al. ∙

research

∙ 06/17/2022

Bootstrapped Transformer for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning policies from previ...

0 Kerong Wang, et al. ∙

research

∙ 05/27/2022

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

With the tremendous expansion of graphs data, node classification shows ...

0 Bin Lu, et al. ∙

research

∙ 05/27/2022

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

Spatio-temporal graph learning is a key method for urban computing tasks...

6 Bin Lu, et al. ∙

research

∙ 03/30/2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

As a challenging multi-player card game, DouDizhu has recently drawn muc...

0 Guan Yang, et al. ∙

research

∙ 03/20/2022

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects

Significant advances have recently been achieved in Multi-Agent Reinforc...

0 Xihuai Wang, et al. ∙

research

∙ 03/04/2022

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization

Recent progress in state-only imitation learning extends the scope of ap...

1 Minghuan Liu, et al. ∙

research

∙ 02/25/2022

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Program representation, which aims at converting program source code int...

0 Ting Long, et al. ∙

research

∙ 01/27/2022

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

Neural architecture search (NAS) has shown encouraging results in automa...

0 Weijun Hong, et al. ∙

research

∙ 01/24/2022

Towards Collaborative Question Answering: A Preliminary Study

Knowledge and expertise in the real-world can be disjointedly owned. To ...

0 Xiangkun Hu, et al. ∙

research

∙ 01/20/2022

Goal-Conditioned Reinforcement Learning: Problems and Solutions

Goal-conditioned reinforcement learning (GCRL), related to a set of comp...

0 Minghuan Liu, et al. ∙

research

∙ 01/06/2022

Phrase-level Adversarial Example Generation for Neural Machine Translation

While end-to-end neural machine translation (NMT) has achieved impressiv...

0 Juncheng Wan, et al. ∙

research

∙ 11/19/2021

Towards Return Parity in Markov Decision Processes

Algorithmic decisions made by machine learning models in high-stakes dom...

0 Jianfeng Chi, et al. ∙

research

∙ 11/16/2021

On Effective Scheduling of Model-based Reinforcement Learning

Model-based reinforcement learning has attracted wide attention due to i...

0 Hang Lai, et al. ∙

research

∙ 11/16/2021

QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback

Pseudo relevance feedback (PRF) automatically performs query expansion b...

0 Handong Ma, et al. ∙

research

∙ 11/09/2021

Learning Logic Rules for Document-level Relation Extraction

Document-level relation extraction aims to identify relations between en...

0 Dongyu Ru, et al. ∙

research

∙ 11/05/2021

AIM: Automatic Interaction Machine for Click-Through Rate Prediction

Feature embedding learning and feature interaction modeling are two cruc...

0 Chenxu Zhu, et al. ∙

research

∙ 11/03/2021

Curriculum Offline Imitation Learning

Offline reinforcement learning (RL) tasks require the agent to learn fro...

0 Minghuan Liu, et al. ∙

research

∙ 10/18/2021

Context-aware Reranking with Utility Maximization for Recommendation

As a critical task for large-scale commercial recommender systems, reran...

0 Yunjia Xi, et al. ∙

research

∙ 08/16/2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

Diabetes prediction is an important data science application in the soci...

10 Mingcheng Chen, et al. ∙

research

∙ 08/11/2021

Retrieval Interaction Machine for Tabular Data Prediction

Prediction over tabular data is an essential task in many data science a...

0 Jiarui Qin, et al. ∙

research

∙ 05/28/2021

Learning to Select Cuts for Efficient Mixed-Integer Programming

Cutting plane methods play a significant role in modern solvers for tack...

8 Zeren Huang, et al. ∙

Weinan Zhang

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