SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval | Paper Citation Record

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2011 , publisher=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Reasoning Beyond Language: A Comprehensive Survey on Latent Chain-of-Thought Reasoning , publisher =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval CODI : Compressing Chain-of-Thought into Continuous Space via Self-Distillation

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Reasoning with Latent Thoughts: On the Power of Looped Transformers

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Soft Thinking: Unlocking the Reasoning Potential of

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains , url =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval arXiv preprint arXiv:2602.08220 , year =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , month = nov, year =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , month = nov, year =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , month = nov, year =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , url =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Think before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation , year=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics , year=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Is Anisotropy Really the Cause of

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval R etro MAE : Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Prefix-Tuning: Optimizing Continuous Prompts for Generation

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Sentence-

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2023 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 38th International Conference on Machine Learning , pages=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval How Contextual are Contextualized Word Representations? C omparing the Geometry of BERT , ELM o, and GPT -2 Embeddings

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval International Conference on Learning Representations , year=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval International Conference on Learning Representations , year=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Information Retrieval meets Large Language Models: A strategic report from Chinese IR community , volume=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval , publisher =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval RaDeR: Reasoning-aware Dense Retrieval Models

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Precise Zero-Shot Dense Retrieval without Relevance Labels

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval GPT-4o System Card

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2022 , note =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Dense Passage Retrieval for Open-Domain Question Answering

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , note =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks , url =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Towards General Text Embeddings with Multi-stage Contrastive Learning

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , note =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Generative Representational Instruction Tuning

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Answer is All You Need: Instruction-following Text Embedding via Answering the Question

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval , url =

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2024 , eprint=

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Improving Text Embeddings with Large Language Models

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Query2doc: Query Expansion with Large Language Models

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Observation cfe9bf6b-e101-4ae7-af56-9e8293e49729 · outbound

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SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval F ollow IR : Evaluating and Teaching Information Retrieval Models to Follow Instructions

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:18.368646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5021254c-2066-472d-bcd6-cf1274a3a825 · outbound

This paper cites E xpand R : Teaching Dense Retrievers Beyond Queries with LLM Guidance.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval E xpand R : Teaching Dense Retrievers Beyond Queries with LLM Guidance

Reference 60

Resolution: verified exact; doi, observed 2026-08-01T07:53:27.336782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 868a268b-e037-4e60-93d7-062337721082 · outbound

This paper cites 2024 , eprint=.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2024 , eprint=

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:18.602014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e5752c9-3284-409b-886e-0602dc0f2cdf · outbound

This paper cites Jasper and Stella: distillation of SOTA embedding models.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Jasper and Stella: distillation of SOTA embedding models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:18.746357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e538270-2037-4298-9811-3a88c49a57ca · outbound

This paper cites 2025 , eprint=.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:18.875362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8edcea14-2297-4bf4-8e1f-989c0a8123dc · outbound

This paper cites 2025 , eprint=.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2025 , eprint=

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.019365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae9878ab-3741-4ecc-b97c-8e8a29617995 · outbound

This paper cites A Survey of Large Language Models.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval A Survey of Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.129457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bff2461-af9b-400e-98df-140900d641fa · outbound

This paper cites Large Language Models for Information Retrieval: A Survey , publisher =.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Large Language Models for Information Retrieval: A Survey , publisher =

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.240245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24672db4-7887-4ba2-ac1e-ac69a3bba27b · outbound

This paper cites Learning Phrase Representations using RNN Encoder -- Decoder for Statistical Machine Translation.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Learning Phrase Representations using RNN Encoder -- Decoder for Statistical Machine Translation

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.351216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c73c201-041f-440f-a2ed-5f4a2d9b6316 · outbound

This paper cites Attention is All you Need , url =.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Attention is All you Need , url =

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.461869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6df1637-814a-4c24-ad4c-3215b8d79c76 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.573169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedeb118-619d-4727-9181-7742b8caca51 · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.681806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd62209d-a754-4a47-b6a9-cf2cc8890dfc · outbound

This paper cites an unresolved cited work.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval Unresolved cited work

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.757092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5265d720-691d-4863-86cf-273007ff5288 · outbound

This paper cites AnglE-optimized Text Embeddings.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval AnglE-optimized Text Embeddings

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.866609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1cb5d17-3535-487f-93e8-4955bf2c14f9 · outbound

This paper cites S im CSE : Simple Contrastive Learning of Sentence Embeddings.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval S im CSE : Simple Contrastive Learning of Sentence Embeddings

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:19.939917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4183c07d-b823-4c16-9ac3-fc62a6f84cad · outbound

This paper cites 2026 , eprint=.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval 2026 , eprint=

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-01T07:51:20.050491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers