HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving | Paper Citation Record

Observation ff2bf7b7-d52d-45aa-9f95-9e1c3d040280 · outbound

This paper cites Reinforcement learning algorithms: A brief survey.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Reinforcement learning algorithms: A brief survey

Reference 1

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Observation ee4e5cd9-eb1f-478a-a4fa-e22e84b9b71e · outbound

This paper cites Deep reinforcement learning: A survey.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Deep reinforcement learning: A survey

Reference 2

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Observation dd28ad47-5f5d-446c-9af6-b2b9d975e6f5 · outbound

This paper cites A Review of Safe Reinforcement Learning: Methods, Theory and Applications.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Reference 3

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Observation d2fb4b9c-c9e0-4703-89e4-3e604ed0c6d0 · outbound

This paper cites Milestones in autonomous driving and intelligent vehicles: Survey of surveys.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Milestones in autonomous driving and intelligent vehicles: Survey of surveys

Reference 4

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Observation 09ea864e-390f-4e7d-a28e-99d38fa1a72d · outbound

This paper cites Event-triggered model predictive control with deep reinforcement learning for autonomous driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Event-triggered model predictive control with deep reinforcement learning for autonomous driving

Reference 5

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Observation 4d6fcc8d-e843-4e4e-af27-db0d689266da · outbound

This paper cites Deep reinforcement learning with nmpc assistance nash switching for urban autonomous driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Deep reinforcement learning with nmpc assistance nash switching for urban autonomous driving

Reference 6

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Observation f3defba4-44d7-4ada-9197-f848bd7dcbc0 · outbound

This paper cites Language models are few-shot learners.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Language models are few-shot learners

Reference 7

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Observation 0275447b-62ec-49de-8395-410dab057a5e · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LLaMA: Open and Efficient Foundation Language Models

Reference 8

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Observation b8f3bdbb-7e1e-4f7f-a01c-f7b19cb183a8 · outbound

This paper cites Explain Yourself! Leveraging Language Models for Commonsense Reasoning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Explain Yourself! Leveraging Language Models for Commonsense Reasoning

Reference 9

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Observation f7eb0243-a63e-4bfe-9e2b-a2af77a3eb0a · outbound

This paper cites Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations

Reference 10

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Observation bce1d8a1-66bd-4254-8282-05cb920efc09 · outbound

This paper cites The Llama 3 Herd of Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving The Llama 3 Herd of Models

Reference 11

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Observation 4ee9c737-24d7-4521-a350-52090cc44a5a · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 12

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Observation 78af3939-c290-4f45-b8ad-fafe89bd5cda · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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Observation 55b60325-e9b7-4c16-a5ea-122aa48d87cf · outbound

This paper cites Limsim++: A closed-loop platform for deploying multimodal llms in autonomous driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Limsim++: A closed-loop platform for deploying multimodal llms in autonomous driving

Reference 14

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Observation 88f47f00-536c-4284-ba38-83acc0b6a09d · outbound

This paper cites Lampilot: An open benchmark dataset for autonomous driving with language model programs.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Lampilot: An open benchmark dataset for autonomous driving with language model programs

Reference 15

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Observation 2b00062c-5c10-4411-b073-9d8a3d1485ca · outbound

This paper cites DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Reference 16

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Observation a137705b-f166-4471-b83e-099d205cdab0 · outbound

This paper cites Driving with llms: Fusing object-level vector modality for explainable autonomous driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Driving with llms: Fusing object-level vector modality for explainable autonomous driving

Reference 17

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Observation dedc060e-f68f-46ea-a839-b7e2bbb88b15 · outbound

This paper cites LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LLM4Drive: A Survey of Large Language Models for Autonomous Driving

Reference 18

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Observation 28a9d241-289f-4a2c-987c-3e51f00bef1a · outbound

This paper cites Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Survey on large language model-enhanced reinforcement learning: Concept, taxonomy, and methods

Reference 19

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Observation bbb02410-a701-4f50-8c2a-5f685df8c4e4 · outbound

This paper cites The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning

Reference 20

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Observation 8bb67715-276b-401c-8a10-4e6772e4e2ac · outbound

This paper cites Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving

Reference 21

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Observation 3b0f2862-310e-474d-b8e6-c4f75ddf3572 · outbound

This paper cites HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model

Reference 22

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Observation 719611fb-4ff4-4c10-a221-4350bbb118fb · outbound

This paper cites AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

Reference 23

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Observation d8c34570-3f2e-4e6e-b1f3-48ecccf7f080 · outbound

This paper cites Optimizing autonomous driving for safety: A human- centric approach with llm-enhanced rlhf.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Optimizing autonomous driving for safety: A human- centric approach with llm-enhanced rlhf

Reference 24

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Observation 028119a4-8591-4506-b4d8-fd400be7334f · outbound

This paper cites VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving

Reference 25

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Observation 4f77f1af-e24f-4541-94ba-e7b2d231e8be · outbound

This paper cites CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models

Reference 26

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Observation 65197cca-5cf8-4ba5-975b-8edfac03eb4c · outbound

This paper cites Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving

Reference 27

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Observation eedf6962-2325-4712-84a7-9fae99fe9538 · outbound

This paper cites LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models

Reference 28

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This paper cites Autoreward: Closed-loop reward design with large language models for autonomous driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Autoreward: Closed-loop reward design with large language models for autonomous driving

Reference 29

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Reference 30

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Lord: Large models based opposite reward design for autonomous driving

Reference 31

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This paper cites Revolve: Reward evolution with large language models for autonomous driving.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Revolve: Reward evolution with large language models for autonomous driving

Reference 32

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Observation 4c469ab0-84ef-4ea2-a378-04983c3998fa · outbound

This paper cites LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Reference 33

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This paper cites CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models

Reference 34

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Observation 04727cb5-68c5-4358-9e31-298b38c9dac5 · outbound

This paper cites LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation

Reference 35

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Exploring and evaluating hallucinations in llm-powered code generation

Reference 36

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This paper cites Llm-check: Investigating detection of hallucinations in large language models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Llm-check: Investigating detection of hallucinations in large language models

Reference 37

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Observation 2347f6aa-ac5a-4b8b-a3da-97312c56f293 · outbound

This paper cites STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?

Reference 38

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Rladapter: Bridging large language models to reinforcement learning in open worlds

Reference 39

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Observation 386ce246-dca3-4fd5-a1a8-e2456d0e1088 · outbound

This paper cites Pre-trained language models for interactive decision-making.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Pre-trained language models for interactive decision-making

Reference 40

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This paper cites Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Reference 41

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This paper cites Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models

Reference 42

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Efficient Reinforcement Learning with Large Language Model Priors

Reference 43

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Grounding large language models in interactive environments with online reinforcement learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:13:48.956077Z

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Observation f8be9a38-554c-4843-ad3b-a756f3556c6b · outbound

This paper cites Fine-tuning large vision-language models as decision-making agents via reinforcement learning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Fine-tuning large vision-language models as decision-making agents via reinforcement learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:13:48.691903Z

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Observation 49fc1608-b320-4489-bbfa-ae4d409b03ac · outbound

This paper cites Teaching Large Language Models to Reason with Reinforcement Learning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Teaching Large Language Models to Reason with Reinforcement Learning

Reference 46

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Latent reward: Llm-empowered credit assignment in episodic reinforcement learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:13:48.459332Z

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Observation 869f221a-4444-4f51-bd69-bb2e6a21cab0 · outbound

This paper cites Text2Reward: Reward Shaping with Language Models for Reinforcement Learning.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Text2Reward: Reward Shaping with Language Models for Reinforcement Learning

Reference 48

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This paper cites LMPriors: Pre-Trained Language Models as Task-Specific Priors.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving LMPriors: Pre-Trained Language Models as Task-Specific Priors

Reference 49

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Observation c358db97-b953-4c50-a735-7a8a38bdc92e · outbound

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HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Guiding pretraining in reinforcement learning with large language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:13:48.198912Z

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Observation 8ac7e83e-5021-4a5d-8aa8-a77f1b2d40bf · outbound

This paper cites Eureka: Human-Level Reward Design via Coding Large Language Models.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Eureka: Human-Level Reward Design via Coding Large Language Models

Reference 51

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Observation 649aa1a4-53e4-4146-b8c7-1144ed8be791 · outbound

This paper cites Shufflenet v2: Practical guidelines for efficient cnn architecture design.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Shufflenet v2: Practical guidelines for efficient cnn architecture design

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Observation 4999fcf0-a1ce-451e-a25a-a8d5fd7f9ba5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Proximal Policy Optimization Algorithms

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:44.372579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df58aec2-3e55-45fb-8d7e-0f58277e824d · outbound

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

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Retrieval-augmented generation for knowledge- intensive nlp tasks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:44.417563Z

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Unavailable: canonical work link unavailable.

Observation df81cc2c-9184-42ad-8da9-b16693c0deb5 · outbound

This paper cites Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via llm.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Driving with regulation: Interpretable decision-making for autonomous vehicles with retrieval-augmented reasoning via llm

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:44.473392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8107abfc-1589-46f6-a2e0-3326276dc0bf · outbound

This paper cites Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:44.607686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca40825-2ce7-436a-b106-689c7f1c11e9 · outbound

This paper cites Billion-scale similarity search with gpus.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Billion-scale similarity search with gpus

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:44.726077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91c11edf-32d0-4aae-bb79-d51caa1c1e9a · outbound

This paper cites Carla: An open urban driving simulator.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Carla: An open urban driving simulator

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T15:13:44.834069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b5fd332-5878-418a-bd71-ba438cc30a95 · outbound

This paper cites An end-to-end curriculum learning approach for autonomous driving scenarios.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving An end-to-end curriculum learning approach for autonomous driving scenarios

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:13:47.587803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1b51b106-22e6-48b1-b840-d293a1d5ee2a · outbound

This paper cites Standards for passenger comfort in automated vehicles: Acceleration and jerk.

HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving Standards for passenger comfort in automated vehicles: Acceleration and jerk

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:13:47.450614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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