A new benchmark for sequential multi-party negotiations from climate data shows no solver dominates and performance depends on game structure.
Cooperation, competition, and maliciousness: Llm-stakeholders interactive negotiation, 2023
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
Minor perturbations in persona format, instruction framing, and network structure shift cooperation by up to 76 percentage points and polarization metrics consistently, showing that LLM social simulations require per-claim robustness audits via the new TRAILS taxonomy.
LLM agent pairs in a resource allocation negotiation game fail to reach Pareto-optimal outcomes due to dynamic grounding failures such as loss of interaction history, anchoring, and referential errors.
citing papers explorer
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A Benchmark for Multi-Party Negotiation Games from Real Negotiation Data
A new benchmark for sequential multi-party negotiations from climate data shows no solver dominates and performance depends on game structure.
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Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits
Minor perturbations in persona format, instruction framing, and network structure shift cooperation by up to 76 percentage points and polarization metrics consistently, showing that LLM social simulations require per-claim robustness audits via the new TRAILS taxonomy.
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Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
LLM agent pairs in a resource allocation negotiation game fail to reach Pareto-optimal outcomes due to dynamic grounding failures such as loss of interaction history, anchoring, and referential errors.