{"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/a-personalized-conversational-benchmark","title":"A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations","arxiv_id":"2505.14106","date":"2025-05-20","proceeding":null,"authors":["Li Li","Peilin Cai","Ryan A. Rossi","Franck Dernoncourt","Branislav Kveton","Junda Wu","Tong Yu","Linxin Song","Tiankai Yang","Yuehan Qin","Nesreen K. Ahmed","Samyadeep Basu","Subhojyoti Mukherjee","Ruiyi Zhang","Zhengmian Hu","Bo Ni","Yuxiao Zhou","Zichao Wang","Yue Huang","Yu Wang","Xiangliang Zhang","Philip S. Yu","Xiyang Hu","Yue Zhao"],"abstract":"We present PersonaConvBench, a large-scale benchmark for evaluating personalized reasoning and generation in multi-turn conversations with large language models (LLMs). Unlike existing work that focuses on either personalization or conversational structure in isolation, PersonaConvBench integrates both, offering three core tasks: sentence classification, impact regression, and user-centric text generation across ten diverse Reddit-based domains. This design enables systematic analysis of how personalized conversational context shapes LLM outputs in realistic multi-user scenarios. We benchmark several commercial and open-source LLMs under a unified prompting setup and observe that incorporating personalized history yields substantial performance improvements, including a 198 percent relative gain over the best non-conversational baseline in sentiment classification. By releasing PersonaConvBench with evaluations and code, we aim to support research on LLMs that adapt to individual styles, track long-term context, and produce contextually rich, engaging responses.","url_abs":"https://arxiv.org/abs/2505.14106v1","url_pdf":"https://arxiv.org/pdf/2505.14106v1.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":"a-personalized-conversational-benchmark","repo_url":"https://github.com/persona-bench/persona","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"sentence","task_name":"Sentence"},{"task_slug":"sentence-classification","task_name":"Sentence Classification"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"sentiment-classification","task_name":"Sentiment Classification"},{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=2505.14106","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2505.14106"}},"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/persona-bench/persona","reach":null}],"summary":{"ran_draft_wrong":4,"ran_violates":1,"unverified":1},"by_repo_kind":{"official":{"samples":6,"ran":5,"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":6,"samples":[{"code_sha256_prefix":"580ea2b38163697d","entry":"call_azure_openai_with_retry","repo":"persona-bench/persona","repo_kind":"official","path":"LLMEvaluators/3.3/GPT4.1.py","file_url":"https://github.com/persona-bench/persona/blob/HEAD/LLMEvaluators/3.3/GPT4.1.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"580ea2b38163697d"}},{"code_sha256_prefix":"b3a8c68af7fbac6f","entry":"clean_text","repo":"persona-bench/persona","repo_kind":"official","path":"PromptMakers/3.3PromptMaker.py","file_url":"https://github.com/persona-bench/persona/blob/HEAD/PromptMakers/3.3PromptMaker.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b3a8c68af7fbac6f"}},{"code_sha256_prefix":"b0b648710feb3a19","entry":"datetime_to_string","repo":"persona-bench/persona","repo_kind":"official","path":"PromptMakers/3.3PromptMaker.py","file_url":"https://github.com/persona-bench/persona/blob/HEAD/PromptMakers/3.3PromptMaker.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"b0b648710feb3a19"}},{"code_sha256_prefix":"8245ad37886fd989","entry":"get_thread_concatenated_text","repo":"persona-bench/persona","repo_kind":"official","path":"LLMEvaluators/3.3/GPT4.1.py","file_url":"https://github.com/persona-bench/persona/blob/HEAD/LLMEvaluators/3.3/GPT4.1.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"8245ad37886fd989"}},{"code_sha256_prefix":"4140ba46ebc772ba","entry":"parse_timestamp","repo":"persona-bench/persona","repo_kind":"official","path":"PromptMakers/3.3PromptMaker.py","file_url":"https://github.com/persona-bench/persona/blob/HEAD/PromptMakers/3.3PromptMaker.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"4140ba46ebc772ba"}},{"code_sha256_prefix":"64f5dba0db806ba6","entry":"get_thread_embedding","repo":"persona-bench/persona","repo_kind":"official","path":"LLMEvaluators/3.3/GPT4.1.py","file_url":"https://github.com/persona-bench/persona/blob/HEAD/LLMEvaluators/3.3/GPT4.1.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":"64f5dba0db806ba6"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}