{"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/load-model-tokenizer","entry":"load_model_tokenizer","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":0,"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":7,"n_samples_ran":0,"n_samples_fingerprinted":0,"n_places":7,"n_places_pointer_only":1,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":0,"unverified":7},"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":"2410.21352","paper":"/paper/llmcbench-benchmarking-large-language-model","title":"LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment","date":"2024-10-28","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"AboveParadise/LLMCBench","path":"evaluate_advglue.py","file_url":"https://github.com/AboveParadise/LLMCBench/blob/HEAD/evaluate_advglue.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"2e1841f87a930398","mcp_get_code":{"code_sha256":"2e1841f87a930398"}},{"arxiv_id":"2405.14660","paper":"/paper/implicit-in-context-learning","title":"Implicit In-context Learning","date":"2024-05-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lzvv123456/i2cl","path":"utils.py","file_url":"https://github.com/lzvv123456/i2cl/blob/HEAD/utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"41fdcb9543d21908","mcp_get_code":{"code_sha256":"41fdcb9543d21908"}},{"arxiv_id":"2403.05527","paper":"/paper/gear-an-efficient-kv-cache-compression","title":"GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM","date":"2024-03-08","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"haokang-timmy/gear","path":"GenerationBench/GenerationTest/evaluation_aqua_cot.py","file_url":"https://github.com/haokang-timmy/gear/blob/HEAD/GenerationBench/GenerationTest/evaluation_aqua_cot.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"eb8e4a7084fe84dc","mcp_get_code":{"code_sha256":"eb8e4a7084fe84dc"}},{"arxiv_id":"2311.16087","paper":"/paper/dune-dataset-for-unified-editing","title":"DUnE: Dataset for Unified Editing","date":"2023-11-27","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"feyzaakyurek/dune","path":"eval_utils.py","file_url":"https://github.com/feyzaakyurek/dune/blob/HEAD/eval_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"cb06e91ff992ce28","mcp_get_code":{"code_sha256":"cb06e91ff992ce28"}},{"arxiv_id":"2311.07064","paper":"/paper/propane-prompt-design-as-an-inverse-problem","title":"Prompts have evil twins","date":"2023-11-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"rimon15/propane","path":"evil_twins/prompt_optim.py","file_url":"https://github.com/rimon15/propane/blob/HEAD/evil_twins/prompt_optim.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"GPL-2.0","inline_ok":false,"code_sha256_prefix":"22987db9caa5b11c","mcp_get_code":{"code_sha256":"22987db9caa5b11c"}},{"arxiv_id":"2305.12535","paper":"/paper/explaining-how-transformers-use-context-to","title":"Explaining How Transformers Use Context to Build Predictions","date":"2023-05-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"mt-upc/logit-explanations","path":"src/utils_contributions.py","file_url":"https://github.com/mt-upc/logit-explanations/blob/HEAD/src/utils_contributions.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"0cf59c38d6eded2a","mcp_get_code":{"code_sha256":"0cf59c38d6eded2a"}},{"arxiv_id":"2024.findings-emnlp.407","paper":null,"title":"arXiv:2024.findings-emnlp.407","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"amayuelas/multi-agent-attack","path":"multiagent_debate/commons.py","file_url":"https://github.com/amayuelas/multi-agent-attack/blob/HEAD/multiagent_debate/commons.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"71cb68d1cfb69511","mcp_get_code":{"code_sha256":"71cb68d1cfb69511"}}]}