{"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":"/code/chars-token-ratio","entry":"chars_token_ratio","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":7,"n_papers_ran":7,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":6,"n_samples_ran":6,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":4,"by_status":{"ran_honours":2,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":4,"unverified":0},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2406.10960","paper":"/paper/escot-towards-interpretable-emotional-support","title":"ESCoT: Towards Interpretable Emotional Support Dialogue Systems","date":"2024-06-16","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"TeigenZhang/ESCoT","path":"supervised_finetuning_cot.py","file_url":"https://github.com/TeigenZhang/ESCoT/blob/HEAD/supervised_finetuning_cot.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"997bd5441237c02b","mcp_get_code":{"code_sha256":"997bd5441237c02b"}},{"arxiv_id":"2401.00788","paper":"/paper/astraios-parameter-efficient-instruction","title":"Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models","date":"2024-01-01","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"bigcode-project/astraios","path":"training/finetune.py","file_url":"https://github.com/bigcode-project/astraios/blob/HEAD/training/finetune.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"96de41c883c409e1","mcp_get_code":{"code_sha256":"96de41c883c409e1"}},{"arxiv_id":"2310.16450","paper":"/paper/clex-continuous-length-extrapolation-for","title":"CLEX: Continuous Length Extrapolation for Large Language Models","date":"2023-10-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"DAMO-NLP-SG/CLEX","path":"train/dataset.py","file_url":"https://github.com/DAMO-NLP-SG/CLEX/blob/HEAD/train/dataset.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"e5aab3f05887f82f","mcp_get_code":{"code_sha256":"e5aab3f05887f82f"}},{"arxiv_id":"2310.11564","paper":"/paper/personalized-soups-personalized-large","title":"Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging","date":"2023-10-17","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"joeljang/rlphf","path":"training/multitask_training.py","file_url":"https://github.com/joeljang/rlphf/blob/HEAD/training/multitask_training.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"ec7ad96cced15dae","mcp_get_code":{"code_sha256":"ec7ad96cced15dae"}},{"arxiv_id":"2309.16155","paper":"/paper/the-trickle-down-impact-of-reward-in","title":"The Trickle-down Impact of Reward (In-)consistency on RLHF","date":"2023-09-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"shadowkiller33/contrast-instruction","path":"code/supervised_finetuning.py","file_url":"https://github.com/shadowkiller33/contrast-instruction/blob/HEAD/code/supervised_finetuning.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"bdd91b41c7e62785","mcp_get_code":{"code_sha256":"bdd91b41c7e62785"}},{"arxiv_id":"2305.06161","paper":"/paper/starcoder-may-the-source-be-with-you","title":"StarCoder: may the source be with you!","date":"2023-05-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"bigcode-project/starcoder","path":"finetune/finetune.py","file_url":"https://github.com/bigcode-project/starcoder/blob/HEAD/finetune/finetune.py","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"fcea4fde01063b32","mcp_get_code":{"code_sha256":"fcea4fde01063b32"}},{"arxiv_id":"2301.03988","paper":"/paper/santacoder-don-t-reach-for-the-stars","title":"SantaCoder: don't reach for the stars!","date":"2023-01-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":null,"path":"","file_url":null,"status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"code_sha256_prefix":"fcea4fde01063b32","mcp_get_code":{"code_sha256":"fcea4fde01063b32"}}]}