{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:UGP3XGSHWUEHLFS6EULR5LEBAP","short_pith_number":"pith:UGP3XGSH","schema_version":"1.0","canonical_sha256":"a19fbb9a47b50875965e25171eac8103fd4bab5b90fc3e546ebc21f4f1d7425e","source":{"kind":"arxiv","id":"2311.08584","version":1},"attestation_state":"computed","paper":{"title":"Asking More Informative Questions for Grounded Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Daniel Fried, Justin T. Chiu, Sedrick Keh","submitted_at":"2023-11-14T23:13:27Z","abstract_excerpt":"When a model is trying to gather information in an interactive setting, it benefits from asking informative questions. However, in the case of a grounded multi-turn image identification task, previous studies have been constrained to polar yes/no questions, limiting how much information the model can gain in a single turn. We present an approach that formulates more informative, open-ended questions. In doing so, we discover that off-the-shelf visual question answering (VQA) models often make presupposition errors, which standard information gain question selection methods fail to account for."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2311.08584","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-11-14T23:13:27Z","cross_cats_sorted":[],"title_canon_sha256":"8b3a032936cb1d9647e2e703326e4661e12ed8e58ded4491128eb835cadadf0f","abstract_canon_sha256":"8b0c67f605c5a8ef6a067cbf0f866acd604d17f95e94885f1a5de8c0bf2aa206"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:12:59.241410Z","signature_b64":"Sv9DZRljFrUbHhqGJKovK0YXjay0Rfpd+FjKmoVxOEHs/9MJ4mMdpuebg6SLrJpCYgDDHkz4rgCZMwk36jKCDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a19fbb9a47b50875965e25171eac8103fd4bab5b90fc3e546ebc21f4f1d7425e","last_reissued_at":"2026-07-05T07:12:59.240917Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:12:59.240917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Asking More Informative Questions for Grounded Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Daniel Fried, Justin T. Chiu, Sedrick Keh","submitted_at":"2023-11-14T23:13:27Z","abstract_excerpt":"When a model is trying to gather information in an interactive setting, it benefits from asking informative questions. However, in the case of a grounded multi-turn image identification task, previous studies have been constrained to polar yes/no questions, limiting how much information the model can gain in a single turn. We present an approach that formulates more informative, open-ended questions. In doing so, we discover that off-the-shelf visual question answering (VQA) models often make presupposition errors, which standard information gain question selection methods fail to account for."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.08584","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2311.08584/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2311.08584","created_at":"2026-07-05T07:12:59.240975+00:00"},{"alias_kind":"arxiv_version","alias_value":"2311.08584v1","created_at":"2026-07-05T07:12:59.240975+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.08584","created_at":"2026-07-05T07:12:59.240975+00:00"},{"alias_kind":"pith_short_12","alias_value":"UGP3XGSHWUEH","created_at":"2026-07-05T07:12:59.240975+00:00"},{"alias_kind":"pith_short_16","alias_value":"UGP3XGSHWUEHLFS6","created_at":"2026-07-05T07:12:59.240975+00:00"},{"alias_kind":"pith_short_8","alias_value":"UGP3XGSH","created_at":"2026-07-05T07:12:59.240975+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP","json":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP.json","graph_json":"https://pith.science/api/pith-number/UGP3XGSHWUEHLFS6EULR5LEBAP/graph.json","events_json":"https://pith.science/api/pith-number/UGP3XGSHWUEHLFS6EULR5LEBAP/events.json","paper":"https://pith.science/paper/UGP3XGSH"},"agent_actions":{"view_html":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP","download_json":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP.json","view_paper":"https://pith.science/paper/UGP3XGSH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2311.08584&json=true","fetch_graph":"https://pith.science/api/pith-number/UGP3XGSHWUEHLFS6EULR5LEBAP/graph.json","fetch_events":"https://pith.science/api/pith-number/UGP3XGSHWUEHLFS6EULR5LEBAP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP/action/storage_attestation","attest_author":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP/action/author_attestation","sign_citation":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP/action/citation_signature","submit_replication":"https://pith.science/pith/UGP3XGSHWUEHLFS6EULR5LEBAP/action/replication_record"}},"created_at":"2026-07-05T07:12:59.240975+00:00","updated_at":"2026-07-05T07:12:59.240975+00:00"}