Copertina

Explainable Human-AI Interaction: A Planning Perspective

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sreedharan, Sarath, Kulkarni, Anagha, Kambhampati, Subbarao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can Large Language Models Reason and Plan?
di: Kambhampati, Subbarao
Pubblicazione: (2024)

LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
di: Valmeekam, Karthik, et al.
Pubblicazione: (2024)

Chain of Thoughtlessness? An Analysis of CoT in Planning
di: Stechly, Kaya, et al.
Pubblicazione: (2024)

Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
di: Verma, Mudit, et al.
Pubblicazione: (2024)

On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks
di: Stechly, Kaya, et al.
Pubblicazione: (2024)

Seemingly Simple Planning Problems are Computationally Challenging: The Countdown Game
di: Katz, Michael, et al.
Pubblicazione: (2025)

Human-Modeling in Sequential Decision-Making: An Analysis through the Lens of Human-Aware AI
di: Tulli, Silvia, et al.
Pubblicazione: (2024)

Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1
di: Valmeekam, Karthik, et al.
Pubblicazione: (2024)

Who is Helping Whom? Analyzing Inter-dependencies to Evaluate Cooperation in Human-AI Teaming
di: Biswas, Upasana, et al.
Pubblicazione: (2025)

Mind The Gap: Quantifying Mechanistic Gaps in Algorithmic Reasoning via Neural Compilation
di: Saldyt, Lucas, et al.
Pubblicazione: (2025)

Algorithmic Language Models with Neurally Compiled Libraries
di: Saldyt, Lucas, et al.
Pubblicazione: (2024)

Incorporating Human Flexibility through Reward Preferences in Human-AI Teaming
di: Bhambri, Siddhant, et al.
Pubblicazione: (2023)

Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch
di: Mechergui, Malek, et al.
Pubblicazione: (2024)

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
di: Caglar, Turgay, et al.
Pubblicazione: (2023)

Robust Planning with Compound LLM Architectures: An LLM-Modulo Approach
di: Gundawar, Atharva, et al.
Pubblicazione: (2024)

Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning
di: Gundawar, Atharva, et al.
Pubblicazione: (2024)

Make Planning Research Rigorous Again!
di: Katz, Michael, et al.
Pubblicazione: (2025)

Reducing Human-Robot Goal State Divergence with Environment Design
di: Sikes, Kelsey, et al.
Pubblicazione: (2024)

On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
di: Verma, Mudit, et al.
Pubblicazione: (2024)

Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?
di: Bhambri, Siddhant, et al.
Pubblicazione: (2025)

Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation
di: Bhambri, Siddhant, et al.
Pubblicazione: (2025)

Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity
di: Palod, Vardhan, et al.
Pubblicazione: (2025)

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
di: Kambhampati, Subbarao, et al.
Pubblicazione: (2024)

Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens
di: Valmeekam, Karthik, et al.
Pubblicazione: (2025)

SPEAR: Security Posture Evaluation using AI Planner-Reasoning on Attack-Connectivity Hypergraphs
di: Podder, Rakesh, et al.
Pubblicazione: (2025)

Inferring Implicit Goals Across Differing Task Models
di: Tulli, Silvia, et al.
Pubblicazione: (2025)

Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains
di: Samineni, Soumya Rani, et al.
Pubblicazione: (2025)

RL in Name Only? Analyzing the Structural Assumptions in RL post-training for LLMs
di: Samineni, Soumya Rani, et al.
Pubblicazione: (2025)

AWARE, Beyond Sentence Boundaries: A Contextual Transformer Framework for Identifying Cultural Capital in STEM Narratives
di: Khan, Khalid Mehtab, et al.
Pubblicazione: (2025)

Interaction Theater: A case of LLM Agents Interacting at Scale
di: Shekkizhar, Sarath, et al.
Pubblicazione: (2026)

Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
di: Bhambri, Siddhant, et al.
Pubblicazione: (2024)

Task Success is not Enough: Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors
di: Guan, Lin, et al.
Pubblicazione: (2024)

Can large language models reason and plan?
di: Subbarao Kambhampati
Pubblicazione: (2024)

Reasoning in Large Language Models: A Geometric Perspective
di: Cosentino, Romain, et al.
Pubblicazione: (2024)

On the Role of Domain Experts in Creating Effective Tutoring Systems
di: Sreedharan, Sarath, et al.
Pubblicazione: (2025)

Human-Centered Human-AI Interaction (HC-HAII): A Human-Centered AI Perspective
di: Xu, Wei
Pubblicazione: (2025)

Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!
di: Kambhampati, Subbarao, et al.
Pubblicazione: (2025)

Theory of Mind for Explainable Human-Robot Interaction
di: Bauer, Marie S., et al.
Pubblicazione: (2025)

Argumentation-Based Explainability for Legal AI: Comparative and Regulatory Perspectives
di: Prajescu, Andrada Iulia, et al.
Pubblicazione: (2025)

Beyond the Assistant Turn: User Turn Generation as a Probe of Interaction Awareness in Language Models
di: Shekkizhar, Sarath, et al.
Pubblicazione: (2026)