{"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/cove-compressed-vocabulary-expansion-makes","title":"CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems","arxiv_id":"2506.19993","date":"2025-06-24","proceeding":null,"authors":["Haochen Zhang","Tianyi Zhang","Junze Yin","Oren Gal","Anshumali Shrivastava","Vladimir Braverman"],"abstract":"Recommender systems play a pivotal role in providing relevant content to users. With the rapid development of large language models (LLMs), researchers have begun utilizing LLMs to build more powerful recommender systems. However, existing approaches that focus on aligning LLMs with recommendation tasks do not fully leverage their sequential information processing capabilities, leading to suboptimal performance. In this paper, we propose a novel system called compressed vocabulary expansion (CoVE). In CoVE, each item is assigned a unique ID within the expanded vocabulary. Our framework effectively capitalizes on sequence understanding abilities of LLMs, significantly enhancing their performance on recommendation tasks. Additionally, we compress the embedding layer, making CoVE practical for large-scale industrial applications. The effectiveness and performance of CoVE are demonstrated through comprehensive experiments on multiple recommendation datasets and comparisons with prior works. Our code can be found at https://github.com/HaochenZhang717/CoVE-official-Repo.","url_abs":"https://arxiv.org/abs/2506.19993v1","url_pdf":"https://arxiv.org/pdf/2506.19993v1.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":"cove-compressed-vocabulary-expansion-makes","repo_url":"https://github.com/haochenzhang717/cove-official-repo","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"}],"methods":[{"method_slug":"bilstm","method_name":"BiLSTM"},{"method_slug":"cove","method_name":"CoVe"},{"method_slug":"focus","method_name":"Focus"},{"method_slug":"glove","method_name":"GloVe"},{"method_slug":"lstm","method_name":"LSTM"},{"method_slug":"seq2seq","method_name":"Seq2Seq"},{"method_slug":"softmax","method_name":"Softmax"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2506.19993","atlas_url":"https://app.syntology.ai/?focus=2506.19993","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2506.19993"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+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/haochenzhang717/cove-official-repo","reach":{"status":"ok"}}],"summary":{"unverified":4},"by_repo_kind":{"official":{"samples":4,"ran":0,"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":4,"samples":[{"code_sha256_prefix":"210b948a98bd5b30","entry":"dcg_at_k","repo":"haochenzhang717/cove-official-repo","repo_kind":"official","path":"finetune-evaluate-no-text.py","file_url":"https://github.com/haochenzhang717/cove-official-repo/blob/HEAD/finetune-evaluate-no-text.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"210b948a98bd5b30"}},{"code_sha256_prefix":"d8bb70640dd6dec1","entry":"get_peft_embedding","repo":"haochenzhang717/cove-official-repo","repo_kind":"official","path":"emb_comp_utils.py","file_url":"https://github.com/haochenzhang717/cove-official-repo/blob/HEAD/emb_comp_utils.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"d8bb70640dd6dec1"}},{"code_sha256_prefix":"b259cdc2e997aadd","entry":"hr_at_k","repo":"haochenzhang717/cove-official-repo","repo_kind":"official","path":"finetune-evaluate-no-text.py","file_url":"https://github.com/haochenzhang717/cove-official-repo/blob/HEAD/finetune-evaluate-no-text.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b259cdc2e997aadd"}},{"code_sha256_prefix":"b3486df183098e00","entry":"ndcg_at_k","repo":"haochenzhang717/cove-official-repo","repo_kind":"official","path":"finetune-evaluate-no-text.py","file_url":"https://github.com/haochenzhang717/cove-official-repo/blob/HEAD/finetune-evaluate-no-text.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b3486df183098e00"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}