X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation | Paper Citation Record

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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This paper cites Zero-Shot Recommender Systems.

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Zero-Shot Recommender Systems

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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Observation 53a9d774-2a9e-4ffe-97c9-7d99894bbc7a · outbound

This paper cites A Review of Sparse Expert Models in Deep Learning.

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation A Review of Sparse Expert Models in Deep Learning

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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Observation cbba6b39-9e23-4348-95df-8cd0d0f2fcb4 · outbound

This paper cites Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models.

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Mixture-of-LoRAs: An Efficient Multitask Tuning for Large Language Models

Reference 11

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

Reference 12

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Observation 93b801db-8b77-4128-93d7-9784000d9e9d · outbound

This paper cites Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Reference 14

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This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 15

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Gaussian Error Linear Units (GELUs)

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Unresolved cited work

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Decoupled Weight Decay Regularization

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation In Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval

Reference 2015

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X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation In Proceedings of the 28th ACM international conference on information and knowledge management

Reference 2019

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Observation 1595cbe8-fa26-4ddd-851e-95562df9678c · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

X-Cross: Dynamic Integration of Language Models for Cross-Domain Sequential Recommendation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

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