{"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/do-multi-hop-readers-dream-of-reasoning","title":"Do Multi-hop Readers Dream of Reasoning Chains?","arxiv_id":"1910.14520","date":"2019-10-31","proceeding":"WS 2019 11","authors":["Haoyu Wang","Mo Yu","Xiaoxiao Guo","Rajarshi Das","Wenhan Xiong","Tian Gao"],"abstract":"General Question Answering (QA) systems over texts require the multi-hop reasoning capability, i.e. the ability to reason with information collected from multiple passages to derive the answer. In this paper we conduct a systematic analysis to assess such an ability of various existing models proposed for multi-hop QA tasks. Specifically, our analysis investigates that whether providing the full reasoning chain of multiple passages, instead of just one final passage where the answer appears, could improve the performance of the existing QA models. Surprisingly, when using the additional evidence passages, the improvements of all the existing multi-hop reading approaches are rather limited, with the highest error reduction of 5.8% on F1 (corresponding to 1.3% absolute improvement) from the BERT model. To better understand whether the reasoning chains could indeed help find correct answers, we further develop a co-matching-based method that leads to 13.1% error reduction with passage chains when applied to two of our base readers (including BERT). Our results demonstrate the existence of the potential improvement using explicit multi-hop reasoning and the necessity to develop models with better reasoning abilities.","url_abs":"https://arxiv.org/abs/1910.14520v1","url_pdf":"https://arxiv.org/pdf/1910.14520v1.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":"do-multi-hop-readers-dream-of-reasoning","repo_url":"https://github.com/helloeve/bert-co-matching","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"question-answering","task_name":"Question Answering"}],"methods":[{"method_slug":"adam","method_name":"Adam"},{"method_slug":"attention","method_name":"Attention"},{"method_slug":"attention-dropout","method_name":"Attention Dropout"},{"method_slug":"bert","method_name":"BERT"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"dropout","method_name":"Dropout"},{"method_slug":"layer-normalization","method_name":"Layer Normalization"},{"method_slug":"linear-layer","method_name":"Linear Layer"},{"method_slug":"linear-warmup-with-linear-decay","method_name":"Linear Warmup With Linear Decay"},{"method_slug":"multi-head-attention","method_name":"Multi-Head Attention"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"softmax","method_name":"Softmax"},{"method_slug":"weight-decay","method_name":"Weight Decay"},{"method_slug":"wordpiece","method_name":"WordPiece"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1910.14520","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1910.14520"}},"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/helloeve/bert-co-matching","reach":{"status":"ok","spdx":"Apache-2.0"}}],"summary":{"ran_draft_wrong":3,"ran_violates":1,"ran_honours":2,"unverified":5},"by_repo_kind":{"official":{"samples":11,"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":"1923fc05163d207d","entry":"convert_to_unicode","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"tokenization.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/tokenization.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"1923fc05163d207d"}},{"code_sha256_prefix":"f6c275d6a18330a9","entry":"exact_match_score","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"evaluate-v1.1-original.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/evaluate-v1.1-original.py","link_basis":"harvester_set","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"f6c275d6a18330a9"}},{"code_sha256_prefix":"2112c433b9c6d343","entry":"f1_score","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"evaluate-v1.1-original.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/evaluate-v1.1-original.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"2112c433b9c6d343"}},{"code_sha256_prefix":"d08f324f950148de","entry":"gelu","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"modeling.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/modeling.py","link_basis":"harvester_set","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d08f324f950148de"}},{"code_sha256_prefix":"5842ee67106321d6","entry":"get_activation","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"modeling.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/modeling.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"5842ee67106321d6"}},{"code_sha256_prefix":"c6a80c065d2e4851","entry":"normalize_answer","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"evaluate-v1.1-original.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/evaluate-v1.1-original.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":true,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"c6a80c065d2e4851"}},{"code_sha256_prefix":"d299ec45effa875c","entry":"exact_match_score","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"evaluate-v1.1.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/evaluate-v1.1.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"d299ec45effa875c"}},{"code_sha256_prefix":"c30a45593c8f216f","entry":"f1_score","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"evaluate-v1.1.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/evaluate-v1.1.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"c30a45593c8f216f"}},{"code_sha256_prefix":"50958618b65e514e","entry":"get_assignment_map_from_checkpoint","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"modeling.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/modeling.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"50958618b65e514e"}},{"code_sha256_prefix":"ff83ccc8b0b6462d","entry":"load_vocab","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"tokenization.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/tokenization.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"ff83ccc8b0b6462d"}},{"code_sha256_prefix":"0e5615f8994003cf","entry":"printable_text","repo":"helloeve/bert-co-matching","repo_kind":"official","path":"tokenization.py","file_url":"https://github.com/helloeve/bert-co-matching/blob/HEAD/tokenization.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"0e5615f8994003cf"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}