{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GTE2RVTMDY3P6F7TKUUSBOM6GJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"33838927f222981929487118a9233a354372a94eddacb96fcadce18d08dfd8ea","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-02T03:21:35Z","title_canon_sha256":"06f863a3a1d5750796c922ad6997402401edb045c4b45c22256ed3f4da20ece2"},"schema_version":"1.0","source":{"id":"2205.00633","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.00633","created_at":"2026-07-05T04:19:14Z"},{"alias_kind":"arxiv_version","alias_value":"2205.00633v1","created_at":"2026-07-05T04:19:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.00633","created_at":"2026-07-05T04:19:14Z"},{"alias_kind":"pith_short_12","alias_value":"GTE2RVTMDY3P","created_at":"2026-07-05T04:19:14Z"},{"alias_kind":"pith_short_16","alias_value":"GTE2RVTMDY3P6F7T","created_at":"2026-07-05T04:19:14Z"},{"alias_kind":"pith_short_8","alias_value":"GTE2RVTM","created_at":"2026-07-05T04:19:14Z"}],"graph_snapshots":[{"event_id":"sha256:9fc8c98f3cf0bb40f042c63564d921a84d0d4670582551ba111fc3d223e03a7a","target":"graph","created_at":"2026-07-05T04:19:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2205.00633/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Fine-tuning pretrained language models (PLMs) on downstream tasks has become common practice in natural language processing. However, most of the PLMs are vulnerable, e.g., they are brittle under adversarial attacks or imbalanced data, which hinders the application of the PLMs on some downstream tasks, especially in safe-critical scenarios. In this paper, we propose a simple yet effective fine-tuning method called Match-Tuning to force the PLMs to be more robust. For each instance in a batch, we involve other instances in the same batch to interact with it. To be specific, regarding the instan","authors_text":"Baobao Chang, Damai Dai, Qingxiu Dong, Shoujie Tong, Tianyu Liu, Yifan Song, Zhifang Sui","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-02T03:21:35Z","title":"Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.00633","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9674da1eb7051d7ad6717d9bd4ba08f4fa45fe40e7e789ce826a34f1da1ac5c1","target":"record","created_at":"2026-07-05T04:19:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"33838927f222981929487118a9233a354372a94eddacb96fcadce18d08dfd8ea","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-05-02T03:21:35Z","title_canon_sha256":"06f863a3a1d5750796c922ad6997402401edb045c4b45c22256ed3f4da20ece2"},"schema_version":"1.0","source":{"id":"2205.00633","kind":"arxiv","version":1}},"canonical_sha256":"34c9a8d66c1e36ff17f3552920b99e326cd1aac3ee0832451411df37c261a962","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"34c9a8d66c1e36ff17f3552920b99e326cd1aac3ee0832451411df37c261a962","first_computed_at":"2026-07-05T04:19:14.973387Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:19:14.973387Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fv20CnspEnaGNiY52nOBDYRwfoS/y2skgJfUXOqv61DvazovEVcw8yB0rOLdMTyBN5f3mr0OQEWHEjd9T0eRCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:19:14.973792Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.00633","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9674da1eb7051d7ad6717d9bd4ba08f4fa45fe40e7e789ce826a34f1da1ac5c1","sha256:9fc8c98f3cf0bb40f042c63564d921a84d0d4670582551ba111fc3d223e03a7a"],"state_sha256":"a8bf641906779e76475f472f624df6a975c94f91d56219072c3b0e72870f6973"}