Copertina

ComplLLM: Fine-tuning LLMs to Discover Complementary Signals for Decision-making

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Guo, Ziyang, Wu, Yifan, Hartline, Jason, Holstein, Kenneth, Hullman, Jessica
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Decision Theoretic Framework for Measuring AI Reliance
di: Guo, Ziyang, et al.
Pubblicazione: (2024)

Unexploited Information Value in Human-AI Collaboration
di: Guo, Ziyang, et al.
Pubblicazione: (2024)

Underspecified Human Decision Experiments Considered Harmful
di: Hullman, Jessica, et al.
Pubblicazione: (2024)

Explaining and Improving Information Complementarities in Multi-Agent Decision-making
di: Guo, Ziyang, et al.
Pubblicazione: (2025)

Designing Shared Information Displays for Agents of Varying Strategic Sophistication
di: Zhang, Dongping, et al.
Pubblicazione: (2023)

Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
di: Kawakami, Anna, et al.
Pubblicazione: (2024)

Don't be Fooled: The Misinformation Effect of Explanations in Human-AI Collaboration
di: Spitzer, Philipp, et al.
Pubblicazione: (2024)

Purrfessor: A Fine-tuned Multimodal LLaVA Diet Health Chatbot
di: Lu, Linqi, et al.
Pubblicazione: (2024)

PolicyPad: Collaborative Prototyping of LLM Policies
di: Feng, K. J. Kevin, et al.
Pubblicazione: (2025)

Exploring the Potential of Metacognitive Support Agents for Human-AI Co-Creation
di: Gmeiner, Frederic, et al.
Pubblicazione: (2025)

Development of Mental Models in Human-AI Collaboration: A Conceptual Framework
di: Holstein, Joshua, et al.
Pubblicazione: (2025)

VMC: A Grammar for Visualizing Statistical Model Checks
di: Guo, Ziyang, et al.
Pubblicazione: (2024)

AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
di: Saxena, Devansh, et al.
Pubblicazione: (2025)

In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making
di: Fok, Raymond, et al.
Pubblicazione: (2023)

Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
di: Kuo, Tzu-Sheng, et al.
Pubblicazione: (2024)

From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
di: Holstein, Joshua, et al.
Pubblicazione: (2025)

Determinants of LLM-assisted Decision-Making
di: Eigner, Eva, et al.
Pubblicazione: (2024)

MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning
di: Tang, Liujian, et al.
Pubblicazione: (2025)

How to Distinguish AI-Generated Images from Authentic Photographs
di: Kamali, Negar, et al.
Pubblicazione: (2024)

Learning Complementary Policies for Human-AI Teams
di: Gao, Ruijiang, et al.
Pubblicazione: (2023)

Supporting AI-Augmented Meta-Decision Making with InDecision
di: Castañeda, Chance, et al.
Pubblicazione: (2025)

Human Decision-Making with Persuasive and Narrative LLM Explanations
di: Marusich, Laura R., et al.
Pubblicazione: (2026)

Data Quality Challenges in Retrieval-Augmented Generation
di: Müller, Leopold, et al.
Pubblicazione: (2025)

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors
di: Lam, Michelle S., et al.
Pubblicazione: (2024)

DiscoverLLM: From Executing Intents to Discovering Them
di: Kim, Tae Soo, et al.
Pubblicazione: (2026)

What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
di: Ma, Qianou, et al.
Pubblicazione: (2024)

FASTNav: Fine-tuned Adaptive Small-language-models Trained for Multi-point Robot Navigation
di: Chen, Yuxuan, et al.
Pubblicazione: (2024)

Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images
di: Kamali, Negar, et al.
Pubblicazione: (2025)

Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows
di: Gmeiner, Frederic, et al.
Pubblicazione: (2025)

The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making
di: Garcia, Basile, et al.
Pubblicazione: (2024)

Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making
di: Chappidi, Shreya, et al.
Pubblicazione: (2026)

Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
di: He, Gaole, et al.
Pubblicazione: (2025)

Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4
di: Puranam, Phanish, et al.
Pubblicazione: (2025)

AI Knows What's Wrong But Cannot Fix It: Helicoid Dynamics in Frontier LLMs Under High-Stakes Decisions
di: Jadad, Alejandro R
Pubblicazione: (2026)

Mitigating LLM Hallucinations with Knowledge Graphs: A Case Study
di: Li, Harry, et al.
Pubblicazione: (2025)

Human Decision-making is Susceptible to AI-driven Manipulation
di: Sabour, Sahand, et al.
Pubblicazione: (2025)

Are You Being Tracked? Discover the Power of Zero-Shot Trajectory Tracing with LLMs!
di: Yang, Huanqi, et al.
Pubblicazione: (2024)

Steerable Chatbots: Personalizing LLMs with Preference-Based Activation Steering
di: Bo, Jessica Y., et al.
Pubblicazione: (2025)

Ignore All Previous Instructions: Jailbreaking as a de-escalatory peace building practise to resist LLM social media bots
di: Day, Huw, et al.
Pubblicazione: (2026)

Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making
di: Ma, Shuai, et al.
Pubblicazione: (2024)