[{"id": 617099, "created": "2025-08-08T06:25:46.736749", "project_id": 294, "task_id": 649297, "user_id": 315, "user_ip": null, "finish_time": "2025-08-08T06:27:09.271831", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 589, "src": "results also indicate that learning character-level representations from the data is beneficial as the char -lstm joint model significantly outperforms the baselines used in prior work .", "target": "on the character level , we find that learning character-level representations with an rnn architecture significantly improves results over standard distance metrics used in previous bli research .", "clarity": "clear", "faithfulness": "moderately_faithful", "plausibility": "plausible", "informativeness": "very_informative"}}, {"id": 626242, "created": "2025-08-17T21:09:12.723033", "project_id": 294, "task_id": 649297, "user_id": 325, "user_ip": null, "finish_time": "2025-08-17T21:09:24.220666", "timeout": null, "calibration": null, "external_uid": null, "media_url": null, "info": {"id": 589, "src": "results also indicate that learning character-level representations from the data is beneficial as the char -lstm joint model significantly outperforms the baselines used in prior work .", "target": "on the character level , we find that learning character-level representations with an rnn architecture significantly improves results over standard distance metrics used in previous bli research .", "clarity": "neutral", "faithfulness": "moderately_faithful", "plausibility": "moderately_plausible", "informativeness": "moderately_informative"}}]