{"schema_version":"onlylabs.public_signal.v1","title":"LG AI Research (EXAONE) Repo: LG-AI-EXAONE/KoMT-Bench","description":"LG AI Research (EXAONE) repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea","json_url":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea/signal.json","generated_at":"2026-06-11T03:22:48.387261+00:00","org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/lg-ai","dossier_json_url":"https://onlylabs.fyi/labs/lg-ai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea","signal_json":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea/signal.json","source":"https://github.com/LG-AI-EXAONE/KoMT-Bench","lab_dossier":"https://onlylabs.fyi/labs/lg-ai","lab_dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis":"https://onlylabs.fyi/analysis/lg-ai","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"LG AI Research (EXAONE) published LG-AI-EXAONE/KoMT-Bench (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo LG-AI-EXAONE/KoMT-Bench · language Python · New benchmark repo, modest traction. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","signal_desk":"repos","source_context":{"source_url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","source_host":"github.com","occurred_at":"2024-08-05T08:24:32+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source","context":"Python"},"context_markers":[{"label":"Lab","value":"LG AI Research (EXAONE)","source":"signal"},{"label":"Signal desk","value":"repos","source":"signal"},{"label":"Source host","value":"github.com","source":"source"},{"label":"Repository","value":"LG-AI-EXAONE/KoMT-Bench","source":"source"},{"label":"Language","value":"Python","source":"source"},{"label":"Stars","value":"73","source":"traction"},{"label":"Notability","value":"New benchmark repo, modest traction","source":"signal"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Model card","source":"model"},{"label":"Watch term","value":"Data pipeline","source":"evidence"}],"evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/LG-AI-EXAONE/KoMT-Bench"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-06-11T03:22:48.387261+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea/signal.json","dossier_json":"https://onlylabs.fyi/labs/lg-ai/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/lg-ai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","topic_signals_json":null,"topic_feed":null,"category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","evidence_focus":["repo name","owner","description","language","stars","source URL","first seen time","data, eval, infra, safety, and product terms"],"extraction_questions":["What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Is the repo new evidence for a lab direction that is not yet in writing or releases?","Which related signals should an analyst inspect next?"],"signal_questions":["What does this new repository reveal before a formal announcement exists?","What technical area does this repository expose?","Does the repo imply eval, data, infrastructure, agent, or deployment work?","Do the 6 related repo signals show a repeated pattern?"],"output_fields":["org","repo","technical_theme","evidence_url"],"data_business_relevance":"Data-business lane extraction is scoped to frontier labs; for this category, interpret the repository as source-grounded category strategy evidence.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea/signal.json","required":true},{"label":"source","url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/lg-ai/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/lg-ai/evidence.json","required":true},{"label":"topic_signals_json","url":null,"required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze LG AI Research (EXAONE)'s repo signal \"LG-AI-EXAONE/KoMT-Bench\" for neolab strategy."},"semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published repo","object":"LG-AI-EXAONE/KoMT-Bench","text":"LG AI Research (EXAONE) published repo LG-AI-EXAONE/KoMT-Bench."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"is classified as","object":"repo signal","text":"LG-AI-EXAONE/KoMT-Bench is classified as repo signal."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"belongs to","object":"repos desk","text":"LG-AI-EXAONE/KoMT-Bench belongs to repos desk."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has context","object":"Python","text":"LG-AI-EXAONE/KoMT-Bench has context Python."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LG-AI-EXAONE/KoMT-Bench has evidence coverage 1 captured evidence page."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has captured page count","object":"1","text":"LG-AI-EXAONE/KoMT-Bench has captured page count 1."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has readable page count","object":"1","text":"LG-AI-EXAONE/KoMT-Bench has readable page count 1."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has related signal count","object":"6","text":"LG-AI-EXAONE/KoMT-Bench has related signal count 6."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has analysis playbook objective","object":"Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.","text":"LG-AI-EXAONE/KoMT-Bench has analysis playbook objective Turn new repository signals into early evidence of tooling, eval, infrastructure, model-adjacent, or product work before it appears in polished launch channels.."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has source host","object":"github.com","text":"LG-AI-EXAONE/KoMT-Bench has source host github.com."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has lab","object":"LG AI Research (EXAONE)","text":"LG-AI-EXAONE/KoMT-Bench has lab LG AI Research (EXAONE)."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has signal desk","object":"repos","text":"LG-AI-EXAONE/KoMT-Bench has signal desk repos."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has source host","object":"github.com","text":"LG-AI-EXAONE/KoMT-Bench has source host github.com."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has repository","object":"LG-AI-EXAONE/KoMT-Bench","text":"LG-AI-EXAONE/KoMT-Bench has repository LG-AI-EXAONE/KoMT-Bench."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has language","object":"Python","text":"LG-AI-EXAONE/KoMT-Bench has language Python."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has stars","object":"73","text":"LG-AI-EXAONE/KoMT-Bench has stars 73."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has notability","object":"New benchmark repo, modest traction","text":"LG-AI-EXAONE/KoMT-Bench has notability New benchmark repo, modest traction."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has watch term","object":"Eval methodology","text":"LG-AI-EXAONE/KoMT-Bench has watch term Eval methodology."}]},"intelligence":{"signal_desk":"repos","answer":"LG AI Research (EXAONE) published LG-AI-EXAONE/KoMT-Bench (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo LG-AI-EXAONE/KoMT-Bench · language Python · New benchmark repo, modest traction. onlylabs links this event to 1 captured evidence page and 6 related repo signals.","semantic_triples":[{"subject":"LG AI Research (EXAONE)","predicate":"published repo","object":"LG-AI-EXAONE/KoMT-Bench","text":"LG AI Research (EXAONE) published repo LG-AI-EXAONE/KoMT-Bench."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"is classified as","object":"repo signal","text":"LG-AI-EXAONE/KoMT-Bench is classified as repo signal."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"belongs to","object":"repos desk","text":"LG-AI-EXAONE/KoMT-Bench belongs to repos desk."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has context","object":"Python","text":"LG-AI-EXAONE/KoMT-Bench has context Python."},{"subject":"LG-AI-EXAONE/KoMT-Bench","predicate":"has evidence coverage","object":"1 captured evidence page","text":"LG-AI-EXAONE/KoMT-Bench has evidence coverage 1 captured evidence page."}]},"signal":{"id":"61cb88ee-2566-46dc-bf05-80bdd23106ea","url":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea","json_url":"https://onlylabs.fyi/signals/61cb88ee-2566-46dc-bf05-80bdd23106ea/signal.json","source_url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","title":"LG-AI-EXAONE/KoMT-Bench","summary":"LG AI Research (EXAONE) published a new repository. onlylabs watches repos for tooling, eval, infra, and model-adjacent work.","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2024-08-05T08:24:32+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source","evidence_coverage":{"target_pages":1,"captured_pages":1,"readable_pages":1,"capture_methods":["plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://github.com/LG-AI-EXAONE/KoMT-Bench"]},"facets":{"repo":"LG-AI-EXAONE/KoMT-Bench","language":"Python"},"traction":{"github_stars":73,"hn_points":null,"hn_comments":null,"hn_story_id":null,"hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","final_url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","title":"LG-AI-EXAONE/KoMT-Bench repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:22:48.387261+00:00","bytes":14956,"raw_path":"8307409a1ec97b0d210c697c366842de77f42d0ccefb7c6d6b865d2e36c23159.json","content_hash":"916609706022d675be094be4a9d07af03ec7914c4ca491d2e62b000f1ffb0eef","excerpt_chars":1200,"truncated":true,"excerpt":"LG-AI-EXAONE/KoMT-Bench Description: Official repository for KoMT-Bench built by LG AI Research Language: Python License: LGPL-3.0 Stars: 73 Forks: 3 Open issues: 0 Created: 2024-08-05T08:24:32Z Pushed: 2024-08-08T00:46:37Z Default branch: main Fork: no Archived: no README: KoMT-Bench | 🤗 [**HuggingFace**](https://huggingface.co/datasets/LGAI-EXAONE/KoMT-Bench) | 📑 [**EXAONE 3.0 7.8B Tech Report**](https://arxiv.org/abs/2408.03541) | <br> Introduction This is an official repository for **KoMT Bench** built by LG AI Research, used to evaluate Korean instruction-following capability of language models, as described in the “[EXAONE 3.0 7.8B Instruction-Tuned Language Model](https://arxiv.org/abs/2408.03541)” (Technical Report). KoMT Bench is developed by translating [MT-Bench](https://arxiv.org/abs/2306.05685) [1] dataset into Korean and modifying some questions to reflect the characteristics and cultural nuances of the Korean language. All source code in this repository is based on [LMSYS’s FastChat repository](https://github.com/lm-sys/FastChat), and we have adapted it to implement EXAONE 3.0 7.8B model. <br> <p>Here are examples from KoMT-Bench:</p> <br> <table> <tr>..."},"evidence_pages":[{"url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","final_url":"https://github.com/LG-AI-EXAONE/KoMT-Bench","title":"LG-AI-EXAONE/KoMT-Bench repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:22:48.387261+00:00","bytes":14956,"raw_path":"8307409a1ec97b0d210c697c366842de77f42d0ccefb7c6d6b865d2e36c23159.json","content_hash":"916609706022d675be094be4a9d07af03ec7914c4ca491d2e62b000f1ffb0eef","excerpt_chars":1200,"truncated":true,"excerpt":"LG-AI-EXAONE/KoMT-Bench Description: Official repository for KoMT-Bench built by LG AI Research Language: Python License: LGPL-3.0 Stars: 73 Forks: 3 Open issues: 0 Created: 2024-08-05T08:24:32Z Pushed: 2024-08-08T00:46:37Z Default branch: main Fork: no Archived: no README: KoMT-Bench | 🤗 [**HuggingFace**](https://huggingface.co/datasets/LGAI-EXAONE/KoMT-Bench) | 📑 [**EXAONE 3.0 7.8B Tech Report**](https://arxiv.org/abs/2408.03541) | <br> Introduction This is an official repository for **KoMT Bench** built by LG AI Research, used to evaluate Korean instruction-following capability of language models, as described in the “[EXAONE 3.0 7.8B Instruction-Tuned Language Model](https://arxiv.org/abs/2408.03541)” (Technical Report). KoMT Bench is developed by translating [MT-Bench](https://arxiv.org/abs/2306.05685) [1] dataset into Korean and modifying some questions to reflect the characteristics and cultural nuances of the Korean language. All source code in this repository is based on [LMSYS’s FastChat repository](https://github.com/lm-sys/FastChat), and we have adapted it to implement EXAONE 3.0 7.8B model. <br> <p>Here are examples from KoMT-Bench:</p> <br> <table> <tr>..."}],"related_signals":[{"id":"2bcfe7f9-4abc-4014-997b-0cf100c1bc11","url":"https://onlylabs.fyi/signals/2bcfe7f9-4abc-4014-997b-0cf100c1bc11","source_url":"https://github.com/LG-AI-EXAONE/EXAONE-4.5","title":"LG-AI-EXAONE/EXAONE-4.5","context":null,"kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2026-04-08T03:32:38+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source"},{"id":"35090525-a9ef-4e99-89e2-baa29c9f754f","url":"https://onlylabs.fyi/signals/35090525-a9ef-4e99-89e2-baa29c9f754f","source_url":"https://github.com/LG-AI-EXAONE/K-EXAONE","title":"LG-AI-EXAONE/K-EXAONE","context":null,"kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-25T09:06:03+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source"},{"id":"54527bb4-57bf-4d90-adcf-732f87640c69","url":"https://onlylabs.fyi/signals/54527bb4-57bf-4d90-adcf-732f87640c69","source_url":"https://github.com/LG-AI-EXAONE/EXAONE-Path-2.5","title":"LG-AI-EXAONE/EXAONE-Path-2.5","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-12-15T09:37:18+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source"},{"id":"9a54d72d-e4a8-4080-885d-56f07a35f2ad","url":"https://onlylabs.fyi/signals/9a54d72d-e4a8-4080-885d-56f07a35f2ad","source_url":"https://github.com/LG-AI-EXAONE/KMMLU-Pro","title":"LG-AI-EXAONE/KMMLU-Pro","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-08-14T05:29:37+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source"},{"id":"60949110-4244-4518-855e-f15f89c7cbe6","url":"https://onlylabs.fyi/signals/60949110-4244-4518-855e-f15f89c7cbe6","source_url":"https://github.com/LG-AI-EXAONE/EXAONE-4.0","title":"LG-AI-EXAONE/EXAONE-4.0","context":null,"kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-07-07T06:45:57+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source"},{"id":"45440192-12f3-45e9-9320-903fe27dc6a8","url":"https://onlylabs.fyi/signals/45440192-12f3-45e9-9320-903fe27dc6a8","source_url":"https://github.com/LG-AI-EXAONE/EXAONE-Deep","title":"LG-AI-EXAONE/EXAONE-Deep","context":null,"kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"lg-ai","name":"LG AI Research (EXAONE)","category":"neolab"},"occurred_at":"2025-03-12T06:45:27+00:00","first_seen_at":"2026-06-05T20:58:47.270764+00:00","date_source":"source"}]}