{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/egoplan-bench-benchmarking-egocentric","title":"EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning","arxiv_id":"2312.06722","date":"2023-12-11","proceeding":null,"authors":["Yi Chen","Yuying Ge","Yixiao Ge","Mingyu Ding","Bohao Li","Rui Wang","Ruifeng Xu","Ying Shan","Xihui Liu"],"abstract":"The pursuit of artificial general intelligence (AGI) has been accelerated by Multimodal Large Language Models (MLLMs), which exhibit superior reasoning, generalization capabilities, and proficiency in processing multimodal inputs. A crucial milestone in the evolution of AGI is the attainment of human-level planning, a fundamental ability for making informed decisions in complex environments, and solving a wide range of real-world problems. Despite the impressive advancements in MLLMs, a question remains: How far are current MLLMs from achieving human-level planning? To shed light on this question, we introduce EgoPlan-Bench, a comprehensive benchmark to evaluate the planning abilities of MLLMs in real-world scenarios from an egocentric perspective, mirroring human perception. EgoPlan-Bench emphasizes the evaluation of planning capabilities of MLLMs, featuring realistic tasks, diverse action plans, and intricate visual observations. Our rigorous evaluation of a wide range of MLLMs reveals that EgoPlan-Bench poses significant challenges, highlighting a substantial scope for improvement in MLLMs to achieve human-level task planning. To facilitate this advancement, we further present EgoPlan-IT, a specialized instruction-tuning dataset that effectively enhances model performance on EgoPlan-Bench. We have made all codes, data, and a maintained benchmark leaderboard available to advance future research.","url_abs":"https://arxiv.org/abs/2312.06722v3","url_pdf":"https://arxiv.org/pdf/2312.06722v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"egoplan-bench-benchmarking-egocentric","repo_url":"https://github.com/chenyi99/egoplan","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"human-object-interaction-detection","task_name":"Human-Object Interaction Detection"},{"task_slug":"task-planning","task_name":"Task Planning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2312.06722","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.06722"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/chenyi99/egoplan","reach":{"status":"ok","spdx":"BSD-3-Clause"}}],"summary":{"ran":5,"ran_fixture":1,"unverified":3},"by_repo_kind":{"official":{"samples":9,"ran":6,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"8d4f00d935b94610","entry":"ego4d_video_process","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama_interface.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama_interface.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"8d4f00d935b94610"}},{"code_sha256_prefix":"1b3449fea01ee2fd","entry":"epic_kitchens_video_process","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama_interface.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama_interface.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"1b3449fea01ee2fd"}},{"code_sha256_prefix":"7d214655954e2bc6","entry":"getAttMap","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama/video_llama/common/gradcam.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama/video_llama/common/gradcam.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"7d214655954e2bc6"}},{"code_sha256_prefix":"98589643273920ba","entry":"main_process","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama/video_llama/common/dist_utils.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama/video_llama/common/dist_utils.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"98589643273920ba"}},{"code_sha256_prefix":"791c72070c0b1cfb","entry":"node_to_dict","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama/video_llama/common/config.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama/video_llama/common/config.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"791c72070c0b1cfb"}},{"code_sha256_prefix":"3d357871563d5daf","entry":"preprocess_multimodal","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama/video_llama/datasets/datasets/egoplan_video_instruct_dataset.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama/video_llama/datasets/datasets/egoplan_video_instruct_dataset.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"3d357871563d5daf"}},{"code_sha256_prefix":"c51f78ff0e556f67","entry":"convert_source_vicuna_format","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama/video_llama/datasets/datasets/egoplan_video_instruct_dataset.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama/video_llama/datasets/datasets/egoplan_video_instruct_dataset.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"c51f78ff0e556f67"}},{"code_sha256_prefix":"643539116e049080","entry":"download_cached_file","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/video_llama/video_llama/common/dist_utils.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/video_llama/video_llama/common/dist_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"643539116e049080"}},{"code_sha256_prefix":"6bacc5f54552814e","entry":"ego4d_video_image_process","repo":"chenyi99/egoplan","repo_kind":"official","path":"src/egoplan_video_llama_interface.py","file_url":"https://github.com/chenyi99/egoplan/blob/HEAD/src/egoplan_video_llama_interface.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"6bacc5f54552814e"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}