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Providing Language Models (LMs) with relevant evidence in the context (either via retrieval or user-provided) can significantly improve their ability to provide better-grounded responses.
Augmentations in hypergraph contrastive learning: Fabricated and generative
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, and Zhangyang Wang. 2022b · 1922
Earlier work this paper cites.
Reconstructing graph diffusion history from a single snapshot
Ruizhong Qiu, Dingsu Wang, Lei Ying, H Vincent Poor, Yifang Zhang, and Hanghang Tong. 2023 · 1988
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system
Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, and Xiangnan He. 2021 · 2021
Earlier work this paper cites.
Dynamic knowledge graph alignment
Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, and Hanghang Tong. 2021 · 2021
Earlier work this paper cites.
Joint knowledge graph completion and question answering
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Earlier work this paper cites.
Introducing chatgpt
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Earlier work this paper cites.
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Adaptive test-time personalization for federated learning
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A survey on rag meeting llms: Towards retrieval-augmented large language models
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Dongqi Fu, Liri Fang, Zihao Li, Hanghang Tong, Vetle I. Torvik, and Jingrui He. 2024 · 2024
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Overthinking the truth: Understanding how language models process false demonstrations
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Conversational question answering with language models generated reformulations over knowledge graph
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Discrete-state continuous-time diffusion for graph generation
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Heterogeneous contrastive learning for foundation models and beyond
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