LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs | Paper Citation Record

Observation cbe5b08b-a1a0-4570-84a2-5ea7da5335df · outbound

This paper cites Learning to reason for multi-step retrieval of personal context in personalized question answering.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Learning to reason for multi-step retrieval of personal context in personalized question answering

Reference 1

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Observation 79ad8bfc-f4b9-429c-8877-4842ba5b5e35 · outbound

This paper cites Large language models empowered personalized web agents.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Large language models empowered personalized web agents

Reference 2

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This paper cites Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces

Reference 3

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Observation 05ac2751-17c0-4bf0-90b6-984eefa4c23c · outbound

This paper cites KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs KnowU-Bench: Towards Interactive, Proactive, and Personalized Mobile Agent Evaluation

Reference 4

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Observation 647d158d-7195-422d-87bc-e353944c7d53 · outbound

This paper cites POPI: Personalizing LLMs via Optimized Natural Language Preference Inference.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs POPI: Personalizing LLMs via Optimized Natural Language Preference Inference

Reference 5

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Observation 5fa22ae1-bd35-49d5-a584-db57a9fdf609 · outbound

This paper cites Lifebench: A benchmark for long-horizon multi-source memory, 2026.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Lifebench: A benchmark for long-horizon multi-source memory, 2026

Reference 6

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Observation d566f43c-52a3-489b-b7d7-a44398374f6c · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 7

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Observation 1f13e3a0-abd7-4c66-8078-1ab509693913 · outbound

This paper cites Lifesim: Long-horizon user life simulator for personalized assistant evaluation.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Lifesim: Long-horizon user life simulator for personalized assistant evaluation

Reference 8

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Observation 015c68cd-1c79-4cd7-87f4-2dc8ef03ff31 · outbound

This paper cites A survey on personalized alignment—the missing piece for large language models in real-world applications.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs A survey on personalized alignment—the missing piece for large language models in real-world applications

Reference 9

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Observation 2f3e4e44-ae26-4184-bf7f-b33dbd09a03a · outbound

This paper cites Towards realistic personalization: Evaluating long-horizon preference following in personalized user-llm interactions.arXiv preprint arXiv:2603.04191, 2026.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Towards realistic personalization: Evaluating long-horizon preference following in personalized user-llm interactions.arXiv preprint arXiv:2603.04191, 2026

Reference 10

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This paper cites Computing inter-rater reliability and its variance in the presence of high agreement.British Journal of Mathematical and Statistical Psychology, 61(1):29–48, 2008.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Computing inter-rater reliability and its variance in the presence of high agreement.British Journal of Mathematical and Statistical Psychology, 61(1):29–48, 2008

Reference 11

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Observation 4e65dcc8-0313-48e6-ba2f-143f54d7cea1 · outbound

This paper cites Rap: Retrieval-augmented personal- ization for multimodal large language models.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Rap: Retrieval-augmented personal- ization for multimodal large language models

Reference 12

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Observation 56da7c87-ee3c-4df9-b752-e35cd45242dc · outbound

This paper cites Asking the Right Questions: Improving Reasoning with Generated Stepping Stones.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Asking the Right Questions: Improving Reasoning with Generated Stepping Stones

Reference 13

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Observation 587f4df2-c4fc-4f95-8a4f-e51722811664 · outbound

This paper cites Op-bench: Benchmarking over-personalization for memory-augmented personalized conversational agents.arXiv preprint arXiv:2601.13722, 2026.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Op-bench: Benchmarking over-personalization for memory-augmented personalized conversational agents.arXiv preprint arXiv:2601.13722, 2026

Reference 14

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Observation 26d5f4ea-1045-4c42-a35a-452f625912d9 · outbound

This paper cites Mem-pal: Towards memory-based personalized dialogue assistants for long-term user-agent interaction.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Mem-pal: Towards memory-based personalized dialogue assistants for long-term user-agent interaction

Reference 15

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Observation fc44df1e-9e30-44e3-8dea-6c4ea85bddbd · outbound

This paper cites Taylor, and Dan Roth.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Taylor, and Dan Roth

Reference 16

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Observation 09fed038-012f-4d9a-a4e7-d0b7da1e84b5 · outbound

This paper cites Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

Reference 17

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Observation 1761f197-9cf5-44b7-9579-ff4770ea77d5 · outbound

This paper cites Humanllm: Towards personalized understanding and simulation of human nature.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Humanllm: Towards personalized understanding and simulation of human nature

Reference 18

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Observation 3df11aa5-64a0-4e50-9c98-4ab4a69a979f · outbound

This paper cites Retrieval-augmented genera- tion for knowledge-intensive nlp tasks.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Retrieval-augmented genera- tion for knowledge-intensive nlp tasks

Reference 19

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Observation 0ec4ee73-f0bd-48d8-b716-81e5dd09304c · outbound

This paper cites Can llm agents simulate multi-turn human behavior? evidence from real online customer behavior data.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Can llm agents simulate multi-turn human behavior? evidence from real online customer behavior data

Reference 20

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Observation 1f0c53b9-6e91-4f50-94c1-229004c058e5 · outbound

This paper cites Exploring the potential of LLMs as person- alized assistants: Dataset, evaluation, and analysis.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Exploring the potential of LLMs as person- alized assistants: Dataset, evaluation, and analysis

Reference 21

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Observation d126780d-3f88-4567-a0a9-0fda6c6b59fc · outbound

This paper cites Privacybench: A conversational benchmark for evaluating privacy in personalized ai, 2025.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Privacybench: A conversational benchmark for evaluating privacy in personalized ai, 2025

Reference 22

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Observation ad1f9ba3-504a-4ab0-8a64-429516c6ef1e · outbound

This paper cites PersonaVLM: Long-Term Personalized Multimodal LLMs.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs PersonaVLM: Long-Term Personalized Multimodal LLMs

Reference 23

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This paper cites On Memory Construction and Retrieval for Personalized Conversational Agents.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs On Memory Construction and Retrieval for Personalized Conversational Agents

Reference 24

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This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 25

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This paper cites Lamp-qa: A benchmark for personalized long-form question answering.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Lamp-qa: A benchmark for personalized long-form question answering

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:17:55.003847Z

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This paper cites Optimization methods for personalizing large language models through retrieval augmentation.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Optimization methods for personalizing large language models through retrieval augmentation

Reference 27

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This paper cites Lamp: When large language models meet personalization.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Lamp: When large language models meet personalization

Reference 28

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Observation 63cdc21d-4945-41e9-b83a-2d50e16f610b · outbound

This paper cites PersonaBench: Evaluating AI models on understanding personal information through accessing (synthetic) private user data.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs PersonaBench: Evaluating AI models on understanding personal information through accessing (synthetic) private user data

Reference 29

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This paper cites Democratizing large language models via personalized parameter-efficient fine-tuning.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Democratizing large language models via personalized parameter-efficient fine-tuning

Reference 30

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This paper cites In prospect and retrospect: Reflective memory management for long-term personalized dialogue agents.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs In prospect and retrospect: Reflective memory management for long-term personalized dialogue agents

Reference 31

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Observation cba440d3-9b69-45e2-a3f3-0aa57e8bb554 · outbound

This paper cites PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization

Reference 32

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This paper cites OPeRA: A dataset of observation, persona, rationale, and action for evaluating LLMs on human online shopping behavior simulation.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs OPeRA: A dataset of observation, persona, rationale, and action for evaluating LLMs on human online shopping behavior simulation

Reference 33

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Observation d7cabc12-5fd3-4ad5-9e9c-693f2d03cd75 · outbound

This paper cites Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Reference 34

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Observation 1636cc8f-8755-4d64-a7a7-2d33cc89459b · outbound

This paper cites DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings

Reference 35

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This paper cites Lauvrak, Jon Atle Gulla, and Heri Ramampiaro.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Lauvrak, Jon Atle Gulla, and Heri Ramampiaro

Reference 36

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Unresolved cited work

Reference 37

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Observation 19ce0ba7-0d2c-4154-8a0b-359a578a26b8 · outbound

This paper cites Promax: Exploring the potential of llm-derived profiles with distribution shaping for recommender systems.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Promax: Exploring the potential of llm-derived profiles with distribution shaping for recommender systems

Reference 38

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Observation adffac51-bba2-4278-aec2-65d48b3e81bd · outbound

This paper cites Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

Reference 39

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Cohen, and Emine Yilmaz

Reference 40

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Cantonese cuisine

Reference 41

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs You tend toward budget-conscious choices

Reference 43

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Observation cbacb1d9-02bc-4d7d-911f-7b2fd1fbb502 · outbound

This paper cites Note that cross-domain references serving the response are legitimate; offense occurs only when references are purely demonstrative.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Note that cross-domain references serving the response are legitimate; offense occurs only when references are purely demonstrative

Reference 44

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Observation 91dd12f4-3f53-478f-99a7-0b60caec758d · outbound

This paper cites educate" the user, such as.

LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs educate" the user, such as

Reference 45

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Reference 46

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs Unresolved cited work

Reference 47

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs retrieval

Reference 48

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs swap test

Reference 49

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Reference 50

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs retrieval

Reference 51

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LUNAR: Benchmarking Personalized Large Language Models on UNiversal User BehAvioR Logs ISBN 979-8-89176-251-0

Reference 2025

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