Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning | Paper Citation Record

Observation 555e026e-6093-4406-b431-f2ebb0bf0769 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 1

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Observation 21a8a9fc-22de-4c8d-b8e9-f2f7af8272ef · outbound

This paper cites Blei, Andrew Y.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Blei, Andrew Y

Reference 2

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Observation 89f1accb-0f90-4f5c-b761-77460a6ae6a3 · outbound

This paper cites Learning to rank: from pairwise approach to listwise approach.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Learning to rank: from pairwise approach to listwise approach

Reference 3

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This paper cites Polynomial calculation of the Shapley value based on sampling.Computers and Operations Research, 36(1):303–314, 2009.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Polynomial calculation of the Shapley value based on sampling.Computers and Operations Research, 36(1):303–314, 2009

Reference 4

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Observation 4cb5a356-c2f5-49bc-a8f3-8dddd8d48967 · outbound

This paper cites Provence: efficient and robust context pruning for retrieval-augmented generation.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Provence: efficient and robust context pruning for retrieval-augmented generation

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This paper cites What Does BERT Look At? An Analysis of BERT's Attention.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning What Does BERT Look At? An Analysis of BERT's Attention

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Observation e295d726-c8f7-44e0-9dde-64ba692833ed · outbound

This paper cites Subset ranking using regression.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Subset ranking using regression

Reference 7

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Observation 26342686-a945-4ffd-b2a1-72ab7cd51f78 · outbound

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

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Observation a7bfa4bb-688d-4461-b05b-5f49dfe3d3f3 · outbound

This paper cites Loocomp: Leverage leave-one-out strategy to encoder-only transformer for efficient query-aware context compres- sion, 2026.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Loocomp: Leverage leave-one-out strategy to encoder-only transformer for efficient query-aware context compres- sion, 2026

Reference 9

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Observation 3c325621-54c3-4ca0-ab4a-7b62e1317abe · outbound

This paper cites CL-bench: A benchmark for context learning.arXiv preprint arXiv:2602.03587, 2026.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning CL-bench: A benchmark for context learning.arXiv preprint arXiv:2602.03587, 2026

Reference 10

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Observation 012ffbb0-092c-4f9a-a649-f1d452a58df1 · outbound

This paper cites Data Shapley: Equitable Valuation of Data for Machine Learning.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Data Shapley: Equitable Valuation of Data for Machine Learning

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Observation fae4b425-25e6-475b-a659-d4894eceb3de · outbound

This paper cites TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

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Observation ff4e2c9f-d3b0-425d-9890-8ae39a688d6a · outbound

This paper cites Gemini 3.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Gemini 3

Reference 13

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Unresolved cited work

Reference 14

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Observation f1afc811-1cc3-4315-b40f-af35e71ae18f · outbound

This paper cites Harsanyi.A Simplified Bargaining Model for the n-Person Cooperative Game, pages 44–70.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Harsanyi.A Simplified Bargaining Model for the n-Person Cooperative Game, pages 44–70

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This paper cites Herbrich, T.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Herbrich, T

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Observation 435da1a2-d03b-4139-a24d-6d6fb00a3ecf · outbound

This paper cites Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps

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Observation 6fb2e983-0a56-49c1-82cf-7b4a361b630e · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning RULER: What's the Real Context Size of Your Long-Context Language Models?

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Observation 1f7901a8-2108-4f91-ba1b-8d4e2e2e0ad1 · outbound

This paper cites Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

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Observation 0a17e1cd-b03b-4492-a933-1c39358fb63b · outbound

This paper cites LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

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Observation e9aef448-aef3-4544-88e6-8c521417fc67 · outbound

This paper cites Optiset: Unified optimizing set selection and ranking for retrieval-augmented generation, 2026.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Optiset: Unified optimizing set selection and ranking for retrieval-augmented generation, 2026

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This paper cites Dense Passage Retrieval for Open-Domain Question Answering.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Dense Passage Retrieval for Open-Domain Question Answering

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Observation 8e7147c7-6776-443e-9b51-670d9e254a4e · outbound

This paper cites Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

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Observation 281bbb6e-ee8a-4609-a1c2-391d9b82df83 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

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This paper cites Compressing Context to Enhance Inference Efficiency of Large Language Models.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Compressing Context to Enhance Inference Efficiency of Large Language Models

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This paper cites A comprehensive survey on long context language modeling.arXiv preprint arXiv:2503.17407, 2025.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning A comprehensive survey on long context language modeling.arXiv preprint arXiv:2503.17407, 2025

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This paper cites Lost in the Middle: How Language Models Use Long Contexts.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Lost in the Middle: How Language Models Use Long Contexts

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This paper cites Decoupled Weight Decay Regularization.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Decoupled Weight Decay Regularization

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This paper cites A Unified Approach to Interpreting Model Predictions.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning A Unified Approach to Interpreting Model Predictions

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Observation 310e19f2-2ac5-4f5e-882d-4f04c9e956c9 · outbound

This paper cites A Survey of Context Engineering for Large Language Models.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning A Survey of Context Engineering for Large Language Models

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This paper cites Distributed Representations of Words and Phrases and their Compositionality.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Distributed Representations of Words and Phrases and their Compositionality

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This paper cites cross-encoder/ms-marco-MiniLM-L6-v2.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning cross-encoder/ms-marco-MiniLM-L6-v2

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This paper cites Passage Re-ranking with BERT.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Passage Re-ranking with BERT

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Unresolved cited work

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This paper cites LLMLingua-2: Data distillation for efficient and faithful task-agnostic prompt compression.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning LLMLingua-2: Data distillation for efficient and faithful task-agnostic prompt compression

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This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

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This paper cites The probabilistic relevance framework: BM25 and beyond.Foundations and Trends in Information Retrieval, 3(4):333–389, 2009.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning The probabilistic relevance framework: BM25 and beyond.Foundations and Trends in Information Retrieval, 3(4):333–389, 2009

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This paper cites Term-weighting approaches in automatic text re- trieval.Inf.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Term-weighting approaches in automatic text re- trieval.Inf

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This paper cites Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Unresolved cited work

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Axiomatic attribution for deep networks

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Openprovence: An open-source implementation of efficient and robust context pruning for retrieval-augmented generation, 2025

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning FEVER: a large-scale dataset for Fact Extraction and VERification

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning MuSiQue: Multihop Questions via Single-hop Question Composition

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Attention Is All You Need

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This paper cites On the Limitations of Representing Functions on Sets.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning On the Limitations of Representing Functions on Sets

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Recomp: Improving retrieval-augmented lms with compression and selective augmentation, 2023

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Qwen3 Technical Report

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This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Deep Sets

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Shapley Context Pruning: A Cooperative Game Perspective for Context Reranking and Pruning Core" and

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