output
20152026
most citedDynamic Memory Networks for Visual and Textual Question Answering

674 citations

Showing cs.AIShow all

8 papers · 1 filter

cs.AI2026

Safe and Policy-Compliant Multi-Agent Orchestration for Enterprise AI

Vinil Pasupuleti, Shyalendar Reddy Allala, Siva Rama Krishna Varma Bayyavarapu +1

Enterprise AI systems increasingly deploy multiple intelligent agents across mission-critical workflows that must satisfy hard policy constraints, bounded risk exposure, and compre…

cs.AI2023★ 156 cited

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Ce Zhou, Qian Li, Chen Li +16

Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A PFM (e.g., BERT, ChatGPT, and GPT-4) is trained on…

cs.AI2022★ 404 cited

Intent Contrastive Learning for Sequential Recommendation

Yongjun Chen, Zhiwei Liu, Jia Li +2

Users' interactions with items are driven by various intents (e.g., preparing for holiday gifts, shopping for fishing equipment, etc.).However, users' underlying intents are often…

cs.AI2021★ 6 cited

Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues

Hung Le, Nancy F. Chen, Steven C. H. Hoi

Compared to traditional visual question answering, video-grounded dialogues require additional reasoning over dialogue context to answer questions in a multi-turn setting. Previous…

cs.AI2020

Explaining Creative Artifacts

Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher

Human creativity is often described as the mental process of combining associative elements into a new form, but emerging computational creativity algorithms may not operate in thi…

cs.AI2019★ 134 cited

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation

Chih-Yao Ma, Jiasen Lu, Zuxuan Wu +4

The Vision-and-Language Navigation (VLN) task entails an agent following navigational instruction in photo-realistic unknown environments. This challenging task demands that the ag…

cs.AI2018★ 1 cited

Interactive Agent Modeling by Learning to Probe

Tianmin Shu, Caiming Xiong, Ying Nian Wu +1

The ability of modeling the other agents, such as understanding their intentions and skills, is essential to an agent's interactions with other agents. Conventional agent modeling…

cs.AI2018★ 36 cited

Multi-Hop Knowledge Graph Reasoning with Reward Shaping

Xi Victoria Lin, Richard Socher, Caiming Xiong

Multi-hop reasoning is an effective approach for query answering (QA) over incomplete knowledge graphs (KGs). The problem can be formulated in a reinforcement learning (RL) setup,…