{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "fair-diplomacy-team-cicero-2022", "title": "CICERO: intent-grounded dialogue with strategic planning", "summary": "Integrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league.", "boundary": "Forty-game five-minute-negotiation-turn evaluation, not unrestricted long-form Diplomacy or general negotiation competence. Human demonstrations and dialogue data are used; it is not learning solely from self-play. Dialogue grounding/filtering is imperfect and the planning model does not model long-term relationship effects; no never-deceives or universal trustworthiness guarantee is implied. 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Miller", "Sasha Mitts", "Adithya Renduchintala", "Stephen Roller", "Dirk Rowe", "Weiyan Shi", "Joe Spisak", "Alexander Wei", "David Wu", "Hugh Zhang", "Markus Zijlstra" ], "authors_complete": true, "human_role_note": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.", "agents": [], "related": [], "subresults": [], "scientific_assessment": { "source_review": "SOURCE_CURATED", "scientific_review": "NOT_REVIEWED_BY_WRS", "formal_replay": "NOT_RUN", "provider_attestation": "NONE" }, "sources": [ { "id": "cur20261015-cicero-science2022", "title": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } ], "points": "175000", "published_grade": { "id": "fair-diplomacy-team-cicero-2022", "entry_id": "fair-diplomacy-team-cicero-2022", "band": "A", "modifier": "+", "target": { "record_id": "urn:uuid:e3e2cdca-5c3d-46aa-a727-d45ddfe5c38c", "version": 1, "content_hash": "sha256:bdd05bdd078cf2b2bb9fa3faf914cab8018ecfa15f80fba875f8eeb93960c321" }, "what_changed": "Integrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league.", "scope": "Integrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league. Forty-game five-minute-negotiation-turn evaluation, not unrestricted long-form Diplomacy or general negotiation competence. Human demonstrations and dialogue data are used; it is not learning solely from self-play. Dialogue grounding/filtering is imperfect and the planning model does not model long-term relationship effects; no never-deceives or universal trustworthiness guarantee is implied. 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detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Daniel Fried", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Andrew Goff", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Jonathan Gray", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Hengyuan Hu", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Athul Paul Jacob", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Mojtaba Komeili", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Karthik Konath", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Minae Kwon", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Adam Lerer", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Mike Lewis", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Alexander H. Miller", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Sasha Mitts", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Adithya Renduchintala", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Stephen Roller", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Dirk Rowe", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Weiyan Shi", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Joe Spisak", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Alexander Wei", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "David Wu", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Hugh Zhang", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Markus Zijlstra", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "organization", "name": "Meta Fundamental AI Research Diplomacy Team (FAIR)", "note": "Cited historical collaboration, not a platform organization account; individual attribution remains incomplete.", "roles": [ "discoverer" ], "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } } ], "evidence": [ { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-0", "kind": "source_reference", "source": { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } } ], "origin": "HUMAN_LEGACY", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "Forty-game five-minute-negotiation-turn evaluation, not unrestricted long-form Diplomacy or general negotiation competence. Human demonstrations and dialogue data are used; it is not learning solely from self-play. Dialogue grounding/filtering is imperfect and the planning model does not model long-term relationship effects; no never-deceives or universal trustworthiness guarantee is implied. R2C2/BART and earlier regularized search retain predecessor credit.", "domain": "Language-grounded multiagent reasoning" }, "sources": [ { "citation": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf" } ], "statement": "# CICERO: intent-grounded dialogue with strategic planning\n\nIntegrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league.\n\n## Scientific scope\n\nForty-game five-minute-negotiation-turn evaluation, not unrestricted long-form Diplomacy or general negotiation competence. Human demonstrations and dialogue data are used; it is not learning solely from self-play. Dialogue grounding/filtering is imperfect and the planning model does not model long-term relationship effects; no never-deceives or universal trustworthiness guarantee is implied. R2C2/BART and earlier regularized search retain predecessor credit.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nAnton Bakhtin; Noam Brown; Emily Dinan; Gabriele Farina; Colin Flaherty; Daniel Fried; Andrew Goff; Jonathan Gray; Hengyuan Hu; Athul Paul Jacob; Mojtaba Komeili; Karthik Konath; Minae Kwon; Adam Lerer; Mike Lewis; Alexander H. Miller; Sasha Mitts; Adithya Renduchintala; Stephen Roller; Dirk Rowe; Weiyan Shi; Joe Spisak; Alexander Wei; David Wu; Hugh Zhang; Markus Zijlstra\n\nSource-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.\n\n\n\n## Original sources\n\n- [Human-level play in the game of Diplomacy by combining language models with strategic reasoning](https://hughbzhang.com/data/diplomacy.pdf)\n", "summary": "Integrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league.", "title": "CICERO: intent-grounded dialogue with strategic planning" }, "record_id": "urn:uuid:e3e2cdca-5c3d-46aa-a727-d45ddfe5c38c", "version": 1, "source_ref": { "record_id": "urn:uuid:e3e2cdca-5c3d-46aa-a727-d45ddfe5c38c", "version": 1, "content_hash": "sha256:bdd05bdd078cf2b2bb9fa3faf914cab8018ecfa15f80fba875f8eeb93960c321" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:97ccb1480fa0e833275a28a998a4edceef2adc5fa7c48cdd2c22379e47ba4d39" }, "target": { "record_id": "urn:uuid:e3e2cdca-5c3d-46aa-a727-d45ddfe5c38c", "version": 1, "content_hash": "sha256:bdd05bdd078cf2b2bb9fa3faf914cab8018ecfa15f80fba875f8eeb93960c321" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "fair-diplomacy-team-cicero-2022", "entry_id": "fair-diplomacy-team-cicero-2022", "revision": 1, "title": "CICERO: intent-grounded dialogue with strategic planning", "context": "Language-grounded multiagent reasoning", "track": "Human-designed research method or resource", "band": "A", "modifier": "+", "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-10-16", "evidence_cutoff": "2026-10-16", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Integrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league.", "scope": "Integrated human-data-trained intent-conditioned dialogue, human-regularized strategic planning and message filtering, achieving strong human-level performance in the reported online Diplomacy blitz league. Forty-game five-minute-negotiation-turn evaluation, not unrestricted long-form Diplomacy or general negotiation competence. Human demonstrations and dialogue data are used; it is not learning solely from self-play. Dialogue grounding/filtering is imperfect and the planning model does not model long-term relationship effects; no never-deceives or universal trustworthiness guarantee is implied. R2C2/BART and earlier regularized search retain predecessor credit.", "evidence_summary": "The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Forty-game five-minute-negotiation-turn evaluation, not unrestricted long-form Diplomacy or general negotiation competence. Human demonstrations and dialogue data are used; it is not learning solely from self-play. Dialogue grounding/filtering is imperfect and the planning model does not model long-term relationship effects; no never-deceives or universal trustworthiness guarantee is implied. R2C2/BART and earlier regularized search retain predecessor credit.", "references": [ { "title": "Human-level play in the game of Diplomacy by combining language models with strategic reasoning", "url": "https://hughbzhang.com/data/diplomacy.pdf", "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification." } ], "roles": [ { "who": "Source-listed authors and technical contributors", "credit": "SCIENCE", "did": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities." } ], "target": { "record_id": "urn:uuid:e3e2cdca-5c3d-46aa-a727-d45ddfe5c38c", "version": 1, "content_hash": "sha256:bdd05bdd078cf2b2bb9fa3faf914cab8018ecfa15f80fba875f8eeb93960c321" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "175000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }