Description

Book Synopsis

.- Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.
.- A Dual-Aligned Model for Multimodal Recommendation.
.- CASINet: A Context-Aware Social Interaction Rumor Detection Network.
.- A Claim Decomposition Benchmark for Long-form Answer Verification.
.- Dual-granularity Hierarchical Fusion Network for Multimodal Humor Recognition on Memes.
.- Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems.
.- Relation Extraction Model Based on Overlap Rules and Abductive Learning.
.- Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs.
.- On the Capacity of Citation Generation by Large Language Models.
.- Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?.
.- QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression.

Information Retrieval

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    A Paperback by Xiangnan He

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      Publisher: Springer
      Publication Date: 07/03/2025
      ISBN13: 9789819617098, 978-9819617098
      ISBN10:
      Also in:
      Information retrieval

      Description

      Book Synopsis

      .- Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.
      .- A Dual-Aligned Model for Multimodal Recommendation.
      .- CASINet: A Context-Aware Social Interaction Rumor Detection Network.
      .- A Claim Decomposition Benchmark for Long-form Answer Verification.
      .- Dual-granularity Hierarchical Fusion Network for Multimodal Humor Recognition on Memes.
      .- Exploring the Potential of Dimension Reduction in Building Efficient Dense Retrieval Systems.
      .- Relation Extraction Model Based on Overlap Rules and Abductive Learning.
      .- Multi-task Instruction Tuning for Temporal Question Answering over Knowledge Graphs.
      .- On the Capacity of Citation Generation by Large Language Models.
      .- Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?.
      .- QUITO: Accelerating Long-Context Reasoning through Query-Guided Context Compression.

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