Bridge candidates: unread papers cited from two or more claim domains (Swanson B slot)

Custom SQL query returning 34 rows (hide) 

select p.lom_id, p.title, p.year, count(distinct rc.domain) as claim_domains, group_concat(distinct rc.domain) as domains from paper p join citation_edge e on e.to_lom_id = p.lom_id join claim rc on rc.about_lom_id = e.from_lom_id left join claim c on c.about_lom_id = p.lom_id where c.id is null group by p.lom_id having claim_domains >= 2 order by claim_domains desc, p.year desc limit 100

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lom_idtitleyearclaim_domainsdomains
arxiv:2309.02726 Large language models for automated open-domain scientific hypotheses discovery, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2310.06770 Swe-bench: Can language models resolve real-world github issues?, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2312.02139 Diffit: Diffusion vision transformers for image generation, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2401.04088 Mixtral of experts, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2401.04259 Marg: Multi-agent review generation for scientific papers, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2402.00854 Symbolicai: A framework for logic-based approaches combining generative models and solvers, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2402.18381 Large language models as evolution strategies 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2404.07738 Researchagent: Iterative research idea generation over scientific literature with large language models, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2404.15794 Large language models as in-context ai generators for quality-diversity 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2404.17605 Autonomous llm-driven research from data to human-verifiable research papers, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2405.03547 Position paper: Leveraging foundational models for black-box optimization: Benefits, challenges, and future directions 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2405.15143 Intelligent go-explore: Standing on the shoulders of giant foundation models, 2024b 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2405.15568 Omni-epic: Open-endedness via models of human notions of interestingness with environments programmed in code, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2406.08414 Discovering preference optimization algorithms with and for large language models 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2406.10252 Autosurvey: Large language models can automatically write surveys, 2024c 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2406.11931 Deepseek-coder-v2: Breaking the barrier of closed-source models in code intelligence 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2407.01725 Discoverybench: Towards data-driven discovery with large language models, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2407.21783 The llama 3 herd of models, 2024 2024 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2305.14259 Scimon: Scientific inspiration machines optimized for novelty, 2024b 2023 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2306.08647 Language to rewards for robotic skill synthesis 2023 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2310.12931 Eureka: Human-level reward design via coding large language models 2023 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2312.09390 Weak-to-strong generalization: Eliciting strong capabilities with weak supervision, 2023 2023 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2201.02177 Grokking: Generalization beyond overfitting on small algorithmic datasets 2022 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2203.11171 Self-consistency improves chain of thought reasoning in language models 2022 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2206.08896 Evolution through large models, 2022 2022 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2209.11895 In-context learning and induction heads 2022 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2211.09760 Velo: Training versatile learned optimizers by scaling up 2022 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2107.03374 Evaluating large language models trained on code 2021 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:2003.05325 Meta-learning curiosity algorithms 2020 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:1905.10985 Ai-gas: Ai-generating algorithms, an alternate paradigm for producing general artificial intelligence 2019 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:1910.04098 Improving generalization in meta reinforcement learning using learned objectives 2019 2 CS / ML / automated science,metascience / TeamScience ops
doi:10.18653/v1/n19-1421 CommonsenseQA: A question answering challenge targeting commonsense knowledge 2019 2 CS / ML / automated science,metascience / TeamScience ops
arxiv:1812.08775 Deep paper gestalt 2018 2 CS / ML / automated science,metascience / TeamScience ops
openalex:W3017344694 (untitled in OpenAlex)   2 climate / NLP / claim verification,CS / NLP / metascience