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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4828339 The Advent of the AI Negotiator: Negotiation Dynamics in the Age of Smart AlgorithmsThe Advent of the AI Negotiator: Negotiation Dynamics in the Age of Smart Algorithms 26 Pages Posted: 15 May 2024 Date Written: May 15, 2024 Abstract Artificial Intelligence (AI) applications are increasingly used in negotiations. In this essay, I invest..

https://www.nber.org/papers/w32685 Demand for Artificial Intelligence in Settlement NegotiationsJoshua Gans has drawn on the findings of his research for both compensated speaking engagements and consulting engagements. He has written the books Prediction Machines, Power & Prediction, and Innovation + Equality on the economics of AI for which he recewww.nber.org엥 제가 생각했던 논문이랑은 좀 다른 방향의 논문이었네요협상 ..

https://www.nature.com/articles/s41467-022-34473-5 저는 자연어를 통한 협상을 기대했드만 그냥 강화학습 이네요제한된 액션 공간에서 Agent끼리 서로 협상하고, 협상 내용에 대해 자신에게 가장 유리한 결과를 가져오는 협상을 진행하는 그런 내용이었습니다.학습은 강화학습을 통해 진행되었고요 그래도 협약을 깰 수 있는 존재를 만들어 보고, 그런 존재가 계속 이기다보니 새로운 역할을 하는 존재가 등장하며 협약을 깰 수 있는 존재가 결과적으로 이긴다고 해도, 대부분의 협약을 지키면서 게임을 진행하는 것이 인상적이긴 하네요  논문 제목Negotiation and Honesty in Artificial Intelligence Methods for the Board Game of..

https://arxiv.org/abs/2401.03568 Agent AI: Surveying the Horizons of Multimodal InteractionMulti-modal AI systems will likely become a ubiquitous presence in our everyday lives. A promising approach to making these systems more interactive is to embody them as agents within physical and virtual environments. At present, systems leverage existingarxiv.org 이 논문은 LLM 뿐많이 아니라 VLM을 활용하여 AGI 도달하기 위한 A..

https://arxiv.org/abs/2308.01552 InterAct: Exploring the Potentials of ChatGPT as a Cooperative AgentThis research paper delves into the integration of OpenAI's ChatGPT into embodied agent systems, evaluating its influence on interactive decision-making benchmark. Drawing a parallel to the concept of people assuming roles according to their unique strengtarxiv.org ReAct를 발전시킨 논문이네요2024.11.26 - [..

https://arxiv.org/abs/2402.05863 How Well Can LLMs Negotiate? NegotiationArena Platform and AnalysisNegotiation is the basis of social interactions; humans negotiate everything from the price of cars to how to share common resources. With rapidly growing interest in using large language models (LLMs) to act as agents on behalf of human users, such LLM agarxiv.org 음 이 논문은 그래도 LLM까지는 갔지만 LLM을 학습하거..

https://arxiv.org/abs/2307.12856 A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisPre-trained large language models (LLMs) have recently achieved better generalization and sample efficiency in autonomous web automation. However, the performance on real-world websites has still suffered from (1) open domainness, (2) limited context lengtarxiv.org WebAgent는 실제 ..

https://arxiv.org/abs/2406.04151 AgentGym: Evolving Large Language Model-based Agents across Diverse EnvironmentsBuilding generalist agents that can handle diverse tasks and evolve themselves across different environments is a long-term goal in the AI community. Large language models (LLMs) are considered a promising foundation to build such agents due to their generarxiv.org 여기서는 직접 LLM을 학습하는 A..

https://arxiv.org/abs/2310.05029 Walking Down the Memory Maze: Beyond Context Limit through Interactive ReadingLarge language models (LLMs) have advanced in large strides due to the effectiveness of the self-attention mechanism that processes and compares all tokens at once. However, this mechanism comes with a fundamental issue -- the predetermined context windowarxiv.org 이 논문은 트리 구조를 통해 짧게 요약해..

https://arxiv.org/abs/2309.08112 Empowering Private Tutoring by Chaining Large Language ModelsArtificial intelligence has been applied in various aspects of online education to facilitate teaching and learning. However, few approaches has been made toward a complete AI-powered tutoring system. In this work, we explore the development of a full-fledarxiv.org 오 LLM이 선생님이 된다!Memory를 활용하여 아는 것, 모르는 ..