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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 ...
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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...
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08/03/2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
With the widespread application of personalized online services, click-t...
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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...
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07/02/2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
Due to the nature of risk management in learning applicable policies, ri...
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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...
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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...
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06/09/2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
Recommender systems (RS) play important roles to match users' informatio...
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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...
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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...
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05/29/2023
Privileged Knowledge Distillation for Sim-to-Real Policy Generalization
Reinforcement Learning (RL) has recently achieved remarkable success in ...
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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...
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05/27/2023
MADiff: Offline Multi-agent Learning with Diffusion Models
Diffusion model (DM), as a powerful generative model, recently achieved ...
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05/16/2023
An Empirical Study on Google Research Football Multi-agent Scenarios
Few multi-agent reinforcement learning (MARL) research on Google Researc...
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04/14/2023
Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph
The pandemic of COVID-19 has inspired extensive works across different r...
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04/03/2023
FMGNN: Fused Manifold Graph Neural Network
Graph representation learning has been widely studied and demonstrated e...
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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...
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02/02/2023
Visual Imitation Learning with Patch Rewards
Visual imitation learning enables reinforcement learning agents to learn...
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12/18/2022
Multi-embodiment Legged Robot Control as a Sequence Modeling Problem
Robots are traditionally bounded by a fixed embodiment during their oper...
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12/18/2022
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
In reinforcement learning applications like robotics, agents usually nee...
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12/15/2022
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer
Deep reinforcement learning has recently emerged as an appealing alterna...
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11/14/2022
NeurIPS 2022 Competition: Driving SMARTS
Driving SMARTS is a regular competition designed to tackle problems caus...
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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...
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10/12/2022
Reinforcement Learning with Automated Auxiliary Loss Search
A good state representation is crucial to solving complicated reinforcem...
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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 ...
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08/17/2022
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation
This paper introduces a novel Self-supervised Fine-grained Dialogue Eval...
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08/14/2022
Forgetting Fast in Recommender Systems
Users of a recommender system may want part of their data being deleted,...
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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...
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06/17/2022
A Graph-Enhanced Click Model for Web Search
To better exploit search logs and model users' behavior patterns, numero...
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06/17/2022
Bootstrapped Transformer for Offline Reinforcement Learning
Offline reinforcement learning (RL) aims at learning policies from previ...
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05/27/2022
Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation
With the tremendous expansion of graphs data, node classification shows ...
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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...
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03/30/2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
As a challenging multi-player card game, DouDizhu has recently drawn muc...
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03/20/2022
Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects
Significant advances have recently been achieved in Multi-Agent Reinforc...
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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...
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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...
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01/27/2022
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Neural architecture search (NAS) has shown encouraging results in automa...
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01/24/2022
Towards Collaborative Question Answering: A Preliminary Study
Knowledge and expertise in the real-world can be disjointedly owned. To ...
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01/20/2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-conditioned reinforcement learning (GCRL), related to a set of comp...
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01/06/2022
Phrase-level Adversarial Example Generation for Neural Machine Translation
While end-to-end neural machine translation (NMT) has achieved impressiv...
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11/19/2021
Towards Return Parity in Markov Decision Processes
Algorithmic decisions made by machine learning models in high-stakes dom...
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11/16/2021
On Effective Scheduling of Model-based Reinforcement Learning
Model-based reinforcement learning has attracted wide attention due to i...
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11/16/2021
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback
Pseudo relevance feedback (PRF) automatically performs query expansion b...
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11/09/2021
Learning Logic Rules for Document-level Relation Extraction
Document-level relation extraction aims to identify relations between en...
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11/05/2021
AIM: Automatic Interaction Machine for Click-Through Rate Prediction
Feature embedding learning and feature interaction modeling are two cruc...
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11/03/2021
Curriculum Offline Imitation Learning
Offline reinforcement learning (RL) tasks require the agent to learn fro...
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10/18/2021
Context-aware Reranking with Utility Maximization for Recommendation
As a critical task for large-scale commercial recommender systems, reran...
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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...
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08/11/2021
Retrieval Interaction Machine for Tabular Data Prediction
Prediction over tabular data is an essential task in many data science a...
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05/28/2021
