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Articles by Danqi Chen
Computer Science > Computation and Language
Modern chess engines are silent experts: they play at a superhuman level, but do not offer explanations for their play. On the other hand, language models (LMs) can generate plausible-sounding explanations, but their weak playing strength limits the utility of their explanations.
Ultrasound-Guided Superior Laryngeal Nerve Block Combined with Cricothyroid Membrane Puncture for Awake Tracheal Intubation in a Patient with a Laryngeal Tumor: A Case Report and Literature Review
Introduction Laryngeal carcinoma accounts for a relatively small proportion of all malignancies worldwide but represents an important subgroup of head and neck cancers. Because these tumors arise in close proximity to the upper airway, even a limited lesion can produce clinically significant narrowing, dynamic obstruction, or distortion of airway anatomy. Consequently, perioperative airway management is often the decisive step in anesthetic planning.
Animal models of developmental toxicity induced by early life electronic-cigarettes exposure
Abstract The rising prevalence of electronic-cigarettes (E-cigs) use during pregnancy and lactation can be attributed, in part, to advertising campaigns promoting their safety. Nevertheless, the integrity of E-cigs as a secure substitute for conventional cigarettes necessitates further exploration. Some studies emphasize the toxic role of nicotine in E-cigs, while others underscore the significance of other distinct components whose toxicity cannot be disregarded.
Formaldehyde induces and promotes Alzheimer's disease pathologies in a 3D human neural cell culture system
Abstract Alzheimer's disease (AD) arises from complex multilevel interactions between genetic, epigenetic, and environmental factors. Recent studies suggest that exposure to the environmental and occupational toxicant formaldehyde (FA) may play a significant role in AD development. However, the effects of FA exposure on Aβ and tau pathologies in human neural cell 3D culture systems remain unexplored.
LitSearch: A Retrieval Benchmark for Scientific Literature Search
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2406.16778] Finding Transformer Circuits with Edge Pruning
[Submitted on 24 Jun 2024 ( v1 ), last revised 2 Apr 2025 (this version, v3)] Title:Finding Transformer Circuits with Edge Pruning View a PDF of the paper titled Finding Transformer Circuits with Edge Pruning, by Adithya Bhaskar and Alexander Wettig and Dan Friedman and Danqi Chen View PDF HTML (experimental) Abstract:The path to interpreting a language model often proceeds via analysis of circuits -- sparse computational subgraphs of the model that capture specific aspects of its behavior.
DPP-4 Inhibitors, Metformin Combinations for T2DM
Rongping Chen,1,* Jing Li,2,* Danqi Chen,3,* Weiheng Wen,1 Susu Zhang,1 Jitong Li,1 Yuting Ruan,1 Zhen Zhang,1 Jia Sun,1 Hong Chen1 1Department of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 2Department of Endocrinology, HuaZhong University of Science and Technology Union ShenZhen Hospital, Guangdong, People’s Republic of China; 3Institute for Prevention and Control of Chronic Noncommunicable Diseases, Guangdong Provincial...
A Hybrid Scheme for Disaster-Monitoring Applications in Wireless Sensor Networks
Abstract : Disaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound information to save lives. Therefore, when accompanied by multimedia data flow, the alert and seismic data sent by the seismic monitoring nodes must be sufficiently fast.
[2305.14788] Adapting Language Models to Compress Contexts
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2210.05643] A Kernel-Based View of Language Model Fine-Tuning
arXiv:2210.05643 (cs) [Submitted on 11 Oct 2022 (v1), last revised 3 May 2023 (this version, v3)] Download a PDF of the paper titled A Kernel-Based View of Language Model Fine-Tuning, by Sadhika Malladi and 4 other authors Download PDF Submission history From: Alexander Wettig [ view email] [v1] Tue, 11 Oct 2022 17:34:32 UTC (429 KB) [v2] Fri, 17 Feb 2023 14:43:20 UTC (405 KB) [v3] Wed, 3 May 2023 17:54:21 UTC (560 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer...
Effect of family-centred care on parental mental health and parent-infant interactions for preterm infants: a systematic review protocol
Methods and analysis This systematic review protocol follows the Preferred Reporting Items of Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines (see online supplemental file 1).51 The proposed review findings will be reported in accordance with guidance provided in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.52 The systematic review is registered at PROSPERO, and any important changes to the protocol will be updated.
[2012.12624] Learning Dense Representations of Phrases at Scale
[Submitted on 23 Dec 2020 (v1), last revised 2 Jun 2021 (this version, v3)] Authors:Jinhyuk Lee, Mujeen Sung, Jaewoo Kang, Danqi Chen Download PDF Abstract: Open-domain question answering can be reformulated as a phrase retrieval problem, without the need for processing documents on-demand during inference (Seo et al., 2019). However, current phrase retrieval models heavily depend on sparse representations and still underperform retriever-reader approaches.
A monthly selection of ML papers.
Staying on top of your reading list is hard, and finding which papers should be on that reading list can be even harder. At Zeta Alpha we’re always keeping a close eye to the latest ML research, so we thought it would be useful to share a monthly selection of recent papers to surface what we believe will be impactful publications, mostly based on each work’s contributions and the authors’ reputation.
A Comprehensive Procedure to Evaluate the In Vitro Performance of the Putative Hemangioblastoma Neovascularization Using the Spheroid Sprouting Assay
Recently, multiple fields of vascular biology research were stimulated by the study of the angiogenic endothelium15. In this article, we developed an endothelial spheroid sprouting technique as an experimental model to study the vessel formation that originates from the VHL gene's loss of function in manipulated endothelial cells to identify novel candidate molecules of the angiogenic cascade.
Hexavalent Chromium (Cr(VI)) Down-Regulates Acetylation of Histone H4 at Lysine 16 through Induction of Stressor Protein Nupr1
The environmental and occupational carcinogen Hexavalent Chromium (Cr(VI)) has been shown to cause lung cancer in humans when inhaled. In spite of a considerable research effort, the mechanisms of Cr(VI)-induced carcinogenesis remain largely unknown. Nupr1 (nuclear protein 1) is a small, highly basic, and unfolded protein with molecular weight of 8,800 daltons and is induced by a variety of stressors.
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