Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents | Paper Citation Record

Observation ab88a494-e649-4caf-ad1f-72578e9cfac1 · inbound

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! cites this paper.

RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze! Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T23:40:11.158809Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation cites this paper.

Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.609544Z

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Observation e0dae9f6-949c-47f7-a69a-f327c45ed3d2 · inbound

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning cites this paper.

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

Reference 46

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Observation 3aefc5d6-fd76-42f3-a337-19db88e2ddca · inbound

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification cites this paper.

DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 30

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Observation 87f013e1-3798-4241-8620-935f80d3484c · inbound

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search cites this paper.

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T04:34:14.639767Z

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Observation ea999163-830d-47de-9096-32166741dc2d · inbound

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems cites this paper.

SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 37

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Observation 1bec7f9f-e962-43c3-9cd3-619246d118f0 · inbound

JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment cites this paper.

JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T13:20:29.697210Z

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Observation d647d29e-2f6b-4732-a806-21bbf145d0a5 · inbound

LitLLMs, LLMs for Literature Review: Are we there yet? cites this paper.

LitLLMs, LLMs for Literature Review: Are we there yet? Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T15:26:53.015824Z

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Observation 10f40224-b8a0-45b0-b975-7f726413eceb · inbound

Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe cites this paper.

Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T00:45:36.032487Z

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Observation 6da84b8b-8904-42ee-8ecf-b95d3aee3ed4 · inbound

Guiding Retrieval using LLM-based Listwise Rankers cites this paper.

Guiding Retrieval using LLM-based Listwise Rankers Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T20:16:15.783299Z

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Observation 954be255-98ac-445c-8148-306d4d3d05e5 · inbound

PaSa: An LLM Agent for Comprehensive Academic Paper Search cites this paper.

PaSa: An LLM Agent for Comprehensive Academic Paper Search Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T19:28:32.083107Z

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Observation d85e2aca-45d0-4d11-8096-b65b6c726f67 · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T16:21:30.330391Z

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Observation 6c6f21cf-0892-42bb-82d1-4575d987bfa0 · inbound

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval cites this paper.

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T14:32:38.043990Z

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Observation 1fceccab-704b-4c13-b2a6-6130916aeafa · inbound

LCTG Bench: LLM Controlled Text Generation Benchmark cites this paper.

LCTG Bench: LLM Controlled Text Generation Benchmark Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T13:53:45.132431Z

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Observation e2b6448f-40a4-4ce0-9a0d-b49ce122ba0e · inbound

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width cites this paper.

Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T13:37:35.395451Z

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Observation ee3613a3-6e43-4bc1-9a44-9d8632b8fe12 · inbound

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation cites this paper.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-09T12:07:24.222846Z

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Observation b38e8479-a646-48d1-bab6-4076e694a6ed · inbound

Benchmarking LLM-based Relevance Judgment Methods cites this paper.

Benchmarking LLM-based Relevance Judgment Methods Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T12:35:47.348584Z

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Observation 31e4c59d-9b63-4165-8c64-0ec246f16b67 · inbound

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent cites this paper.

DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based Agent Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T10:44:52.062158Z

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Observation c2098004-c211-4970-8135-5c7f3270053c · inbound

A Preliminary Framework for Intersectionality in ML Pipelines cites this paper.

A Preliminary Framework for Intersectionality in ML Pipelines Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T23:48:30.904775Z

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Observation 6ba830b7-d53b-489a-afa2-5f75759297cd · inbound

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search cites this paper.

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:39.345398Z

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Observation 79f3043e-dd26-4ced-b89a-10c036891537 · inbound

Reranking with Compressed Document Representation cites this paper.

Reranking with Compressed Document Representation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:23:02.488520Z

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Observation 51bc969d-4237-4c69-857e-7952fb9305b4 · inbound

Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales cites this paper.

Likert or Not: LLM Absolute Relevance Judgments on Fine-Grained Ordinal Scales Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:44.450158Z

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Observation a60c737a-9a62-4961-a1bb-ca5ad58ffc21 · inbound

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning cites this paper.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:14.431147Z

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Observation 56fcce8c-b656-4998-be91-4c0680dd2329 · inbound

Disentangling Locality and Entropy in Ranking Distillation cites this paper.

Disentangling Locality and Entropy in Ranking Distillation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:18.200521Z

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Observation e5d7e0d9-f369-4d17-a5d5-c93f63564880 · inbound

DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers cites this paper.

DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:56.510429Z

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Observation c94db398-7e04-431e-91a5-a984f614f83a · inbound

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching cites this paper.

Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:31.545191Z

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Observation b8371d11-effc-44e1-ac2c-07874bcfcde4 · inbound

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering cites this paper.

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:51.562830Z

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Observation 32d41d46-af84-45e2-9bc2-fd5fb8a58b73 · inbound

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:27.142586Z

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Observation 613c8ca8-beb9-4bf7-992b-7423d04531db · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 166

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:52:16.210456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9328727b-6791-418b-b8e6-173de0878dab · inbound

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing cites this paper.

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:03.884165Z

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Observation d49831ee-57ae-410d-820e-46befa307ecc · inbound

BRIGHT+: Upgrading the BRIGHT Benchmark with MARCUS, a Multi-Agent RAG Clean-Up Suite cites this paper.

BRIGHT+: Upgrading the BRIGHT Benchmark with MARCUS, a Multi-Agent RAG Clean-Up Suite Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:45:34.635176Z

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Observation 22a1ef20-d78c-4875-b168-d2257bff1d72 · inbound

Leveraging LLMs to Evaluate Usefulness of Document cites this paper.

Leveraging LLMs to Evaluate Usefulness of Document Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:38.365626Z

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Observation 5c5d6192-f62c-4ce1-9277-374d5eefc817 · inbound

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval cites this paper.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:03.974051Z

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Observation 461f8e51-e759-4db2-8154-91ab0772f293 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:21.206638Z

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Observation ef73a474-d0f9-4840-9d13-4612bdeff472 · inbound

SGIC: A Self-Guided Iterative Calibration Framework for RAG cites this paper.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:52:44.054312Z

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Observation 85b70e0f-5a97-426f-a55c-0c4613cc4837 · inbound

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models cites this paper.

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:21.826809Z

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Observation ab11c3fe-d6c7-40b5-927b-25101595a9cf · inbound

Commonsense Generation and Evaluation for Dialogue Systems using Large Language Models cites this paper.

Commonsense Generation and Evaluation for Dialogue Systems using Large Language Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T18:34:38.978548Z

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Observation ce9cbf36-9648-441d-912d-180180b1adf6 · inbound

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge cites this paper.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:05:36.869007Z

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Observation 50ff186d-cbce-4df0-ad71-c62553c7e507 · inbound

LineRetriever: Planning-Aware Observation Reduction for Web Agents cites this paper.

LineRetriever: Planning-Aware Observation Reduction for Web Agents Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:43.009783Z

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Observation eaee399a-979c-448d-b139-8b266588c86b · inbound

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks cites this paper.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.432851Z

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Observation c92e9d9b-9a72-4d67-820c-d7e6b2304efa · inbound

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation cites this paper.

Harnessing Pairwise Ranking Prompting Through Sample-Efficient Ranking Distillation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:43:57.176891Z

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Observation 56b81bb3-1916-4bf7-8c32-d01441492d52 · inbound

Shifting from Ranking to Set Selection for Retrieval Augmented Generation cites this paper.

Shifting from Ranking to Set Selection for Retrieval Augmented Generation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:33.626119Z

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Observation 122b7421-2f66-408f-8614-eb45f18f9f8d · inbound

LLMCup: Ranking-Enhanced Comment Updating with LLMs cites this paper.

LLMCup: Ranking-Enhanced Comment Updating with LLMs Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T18:19:58.535253Z

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Observation be0dd02e-a57a-4baa-9349-11dbf27a2f58 · inbound

Does UMBRELA Work on Other LLMs? cites this paper.

Does UMBRELA Work on Other LLMs? Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:20.035254Z

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Observation 954834a8-a060-49ae-b3be-eae33e60e6ed · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.876977Z

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Observation b22c933a-d9f4-4024-8c0f-bf3f1665e240 · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T17:15:15.363545Z

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Observation d93f4fe0-9629-48b0-b3b3-a2817e617d08 · inbound

Access Paths for Efficient Ordering with Large Language Models cites this paper.

Access Paths for Efficient Ordering with Large Language Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:34:24.161395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5fa52ba1-3657-48c7-b99f-7685ade8add5 · inbound

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking cites this paper.

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T13:36:39.253363Z

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Observation 09fe9bd9-b351-4ef4-8e4e-224718db20c1 · inbound

LLMs for estimating positional bias in logged interaction data cites this paper.

LLMs for estimating positional bias in logged interaction data Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:47:42.976099Z

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Observation a8c752b9-1cc1-4a7e-b4bc-b2d10d2d73fa · inbound

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval cites this paper.

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T22:49:21.535695Z

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Observation b13beed8-7a7b-413e-8299-a0f8a62a1b9a · inbound

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization cites this paper.

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T11:11:01.778507Z

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Observation f71764a0-04c9-434a-8889-1da8dc2478e0 · inbound

Search-R3: Unifying Reasoning and Embedding in Large Language Models cites this paper.

Search-R3: Unifying Reasoning and Embedding in Large Language Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:26:10.561714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 294e28a8-9db3-43a9-adaf-e6f9ba503357 · inbound

Characterizing Web Search in The Age of Generative AI cites this paper.

Characterizing Web Search in The Age of Generative AI Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:08:58.717737Z

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Observation 7ad37af5-fd4f-4ba1-8ec3-7625bbad351e · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T09:50:46.093310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bf3b9b1-ae40-4f20-880c-144114439216 · inbound

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty cites this paper.

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:31:19.116481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6e45d05-a84f-4636-871d-562f5ab2c37c · inbound

100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models cites this paper.

100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:29:54.026010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d80fef6f-11d2-40af-894b-de80f63b820d · inbound

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning cites this paper.

Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-13T13:59:01.287449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52554da3-8046-4ac6-9bef-cf28ce5d978e · inbound

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation cites this paper.

Rank, Don't Generate: Statement-level Ranking for Explainable Recommendation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:33:02.583133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ae5c8b02-1110-4aba-b98e-563d1d8aac35 · inbound

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL cites this paper.

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:00:58.096353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0e572117-b1aa-4d26-a7c6-58173a578acc · inbound

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment cites this paper.

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:41:56.690341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e505332d-0e48-4ab7-b1df-07471f0a4bc7 · inbound

Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS cites this paper.

Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTS Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:31:05.146772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72f6dba8-c28a-48fc-89a2-16325fb1a310 · inbound

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking cites this paper.

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:27:51.861043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad574022-d29f-4926-8d07-8e0cb1e72282 · inbound

A Reproducibility Study of Metacognitive Retrieval-Augmented Generation cites this paper.

A Reproducibility Study of Metacognitive Retrieval-Augmented Generation Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:09.235106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6beaeae-e01d-4de1-834f-79234aa2a499 · inbound

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression cites this paper.

ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:01:10.868081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5afb3f45-96c1-4073-9c5d-04b58e931667 · inbound

Efficient Listwise Reranking with Compressed Document Representations cites this paper.

Efficient Listwise Reranking with Compressed Document Representations Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:31:25.616076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1cb807a4-19c4-4cc4-86fe-a1467a8f369f · inbound

Reproducing Adaptive Reranking for Reasoning-Intensive IR cites this paper.

Reproducing Adaptive Reranking for Reasoning-Intensive IR Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.380039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fc5b0010-d0f9-4e69-8113-137cb996b3af · inbound

Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank cites this paper.

Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:57:09.143390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13afc818-4ba6-4909-a729-cd110f8cc1c8 · inbound

ClinQueryAgent: A Conversational Agent for Population Health Management cites this paper.

ClinQueryAgent: A Conversational Agent for Population Health Management Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 211

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:33:55.764732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8f7172f8-a39d-4269-ab17-2e57bea8e56f · inbound

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking cites this paper.

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:41:10.281665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 367f0db6-7030-4c5e-9225-43d5aa4707b0 · inbound

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking cites this paper.

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.759951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 089309f2-d2f3-4520-b857-41a96cd1387c · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T10:33:18.847684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8fcc4b27-db67-4f23-ab1d-f02254ecc377 · inbound

Fine-Tuned LLM as a Complementary Predictor Improving Ads System cites this paper.

Fine-Tuned LLM as a Complementary Predictor Improving Ads System Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:23:28.708304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0ea8985-95db-4b9d-a89d-de0eeb895280 · inbound

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA cites this paper.

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:29.376675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 87ccf516-07fb-462f-b489-aca7da158c71 · inbound

EviRank: Evidence-Based Confidence Estimation for LLM-Based Ranking cites this paper.

EviRank: Evidence-Based Confidence Estimation for LLM-Based Ranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:16:54.141251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a411156-e739-4a87-8dce-ddd7d859fa95 · inbound

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models cites this paper.

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:34:38.014921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1c5126b9-2000-46fb-9879-3f1ce4dbe60d · inbound

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models cites this paper.

Multimodal and Multiscale Spatial-Temporal Semantic Search and Recommendation with AI Foundation Models Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:25.317888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8467d9a9-8676-4a67-9019-87c874ddc29e · inbound

5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control cites this paper.

5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:54:40.218956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d5d2b52-638d-44a7-ad86-e000c02f037f · inbound

Bringing Agentic Search to Earth Observation Data Discovery cites this paper.

Bringing Agentic Search to Earth Observation Data Discovery Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:47:42.692258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f08c23f-9b3c-46c3-b273-34ad64e581a9 · inbound

InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost cites this paper.

InfluMatch: Frontier-Quality KOL Search at 4B-Model Cost Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T20:05:34.189512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bbad2221-ae51-4a30-8ee6-22ccf66cb9e1 · inbound

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking cites this paper.

MagicSelector: Joint Optimization for Agent Tool Selection via Counterfactual Decomposition and Progressive Reranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T17:09:19.928246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeef787e-e90c-4f17-ba08-f84ee41798f6 · inbound

Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval cites this paper.

Mitigating Modality and Language-Style Gaps for Zero-Shot Video Moment Retrieval Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T15:36:43.671742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7347beff-39d5-4961-aeb7-dd4afcbca9f4 · inbound

Towards a Relevance Posterior in Neural Information Access cites this paper.

Towards a Relevance Posterior in Neural Information Access Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-30T19:03:07.697572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd7183b9-f91f-47c2-a87b-a110e8369b15 · inbound

SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking cites this paper.

SciClaimSeekers at CheckThat! 2026: Retrieving Scientific Sources for Social Media Claims with LLM Reranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T08:31:47.012859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d3f058b-0ea4-4929-b164-ebcdf4a91f05 · inbound

Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking cites this paper.

Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:43.901764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46c74d85-165d-4ac0-a165-02be8961538d · inbound

The Embedder's Dilemma: LLMs Are Better, but at What Cost? cites this paper.

The Embedder's Dilemma: LLMs Are Better, but at What Cost? Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T21:37:01.297834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers