Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning | Paper Citation Record

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Unresolved cited work

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

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This paper cites Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, and Xiang Li.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, and Xiang Li

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This paper cites Promptagator: Few-shot Dense Retrieval From 8 Examples.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Promptagator: Few-shot Dense Retrieval From 8 Examples

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning https://api

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Unresolved cited work

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Unresolved cited work

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning The Llama 3 Herd of Models

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Unresolved cited work

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Unresolved cited work

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This paper cites Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Khattab and Matei A

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Large Language Models for Relevance Judgment in Product Search

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Meng, and James R

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Semantic Modelling with Long-Short-Term Memory for Information Retrieval

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Palangi, L

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning A Decomposable Attention Model for Natural Language Inference

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Instruction Tuning with GPT-4

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning LLaMA: Open and Efficient Foundation Language Models

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Self-Consistency Improves Chain of Thought Reasoning in Language Models

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning arXiv e-prints (2016)

Reference 53

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Smith, Daniel Khashabi, and Hannaneh Hajishirzi

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Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning Qwen2 Technical Report

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Observation d39eff59-4047-45df-9eee-72db0a9069f5 · outbound

This paper cites LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:58:26.924569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 40abe752-4d3f-4da5-9d1e-7a079e92c4e4 · outbound

This paper cites In Proceedings of the AAAI Conference on Artificial Intelligence, Vol.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning In Proceedings of the AAAI Conference on Artificial Intelligence, Vol

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:58:27.853890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 22430190-1b5c-4949-84db-98febd99c0f3 · outbound

This paper cites In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:58:27.428604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 83e5d34f-1ee3-44eb-af84-8edcb6cedbf9 · outbound

This paper cites GPT-4 Technical Report.

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T16:58:25.039926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers