Image de couverture de livre

Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wongkamjan, Wichayaporn, Wang, Yanze, Gu, Feng, Peskoff, Denis, Kummerfeld, Jonathan K., May, Jonathan, Boyd-Graber, Jordan Lee
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Personalized Help for Optimizing Low-Skilled Users' Strategy
par: Gu, Feng, et autres
Publié: (2024)

More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
par: Wongkamjan, Wichayaporn, et autres
Publié: (2024)

What if Red Can Talk? Dynamic Dialogue Generation Using Large Language Models
par: Nananukul, Navapat, et autres
Publié: (2024)

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
par: Wang, Xiyao, et autres
Publié: (2023)

Your Students Don't Use LLMs Like You Wish They Did
par: Kobler, Sebastian, et autres
Publié: (2026)

Simple and Effective Baselines for Code Summarisation Evaluation
par: Robinson, Jade, et autres
Publié: (2025)

AI-Resilient Interfaces
par: Glassman, Elena L., et autres
Publié: (2024)

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
par: Balepur, Nishant, et autres
Publié: (2025)

KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students
par: Shu, Matthew, et autres
Publié: (2024)

DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering
par: Srikanth, Neha, et autres
Publié: (2026)

Labeled Interactive Topic Models
par: Seelman, Kyle, et autres
Publié: (2023)

Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?
par: Balepur, Nishant, et autres
Publié: (2024)

Seamless Deception: Larger Language Models Are Better Knowledge Concealers
par: Ashok, Dhananjay, et autres
Publié: (2026)

Large Language Models Are Effective Human Annotation Assistants, But Not Good Independent Annotators
par: Gu, Feng, et autres
Publié: (2025)

How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation
par: Sung, Yoo Yeon, et autres
Publié: (2024)

The Rise of AI-Generated Content in Wikipedia
par: Brooks, Creston, et autres
Publié: (2024)

AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
par: Gor, Maharshi, et autres
Publié: (2026)

NAVIG: Natural Language-guided Analysis with Vision Language Models for Image Geo-localization
par: Zhang, Zheyuan, et autres
Publié: (2025)

Student ID Cards: What You Should Know About Them
par: Hoffman, Jonathan, et autres
Publié: (1973)

An AI-Resilient Text Rendering Technique for Reading and Skimming Documents
par: Gu, Ziwei, et autres
Publié: (2024)

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
par: Balepur, Nishant, et autres
Publié: (2025)

An Empirical Analysis of Static Analysis Methods for Detection and Mitigation of Code Library Hallucinations
par: Miranda-Pena, Clarissa, et autres
Publié: (2026)

Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review
par: Gan, Yidong, et autres
Publié: (2024)

SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity
par: Mondal, Ishani, et autres
Publié: (2025)

PEDANTS: Cheap but Effective and Interpretable Answer Equivalence
par: Li, Zongxia, et autres
Publié: (2024)

Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows
par: Cho, Minjae, et autres
Publié: (2024)

GNOME: Generating Negotiations through Open-Domain Mapping of Exchanges
par: Deshpande, Darshan, et autres
Publié: (2024)

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
par: Hoyle, Alexander, et autres
Publié: (2025)

Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA
par: Gor, Maharshi, et autres
Publié: (2024)

Negotiating Science‐in‐the‐Wild
par: Douglas Allchin, et autres
Publié: (2026)

Supporting Sensemaking of Large Language Model Outputs at Scale
par: Gero, Katy Ilonka, et autres
Publié: (2024)

Question Negotiation at Orem Public Library.
par: Buckley, Jonathan, et autres
Publié: (1990)

Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness
par: Sung, Yoo Yeon, et autres
Publié: (2024)

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration
par: Sung, Yoo Yeon, et autres
Publié: (2025)

Closer People Hurt You More: How Social Distance Modulates Deception‐Triggered Trust Decline and Trust Repair
par: Ziying Li, et autres
Publié: (2025)

CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering
par: Li, Zongxia, et autres
Publié: (2024)

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
par: Lee, Andrew, et autres
Publié: (2024)

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations
par: Tian, Yuan, et autres
Publié: (2024)

Should metaphysics be (re)conceived as metalinguistic negotiation?
par: Jonathan Knowles
Publié: (2025)

Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
par: Balepur, Nishant, et autres
Publié: (2026)