Papers
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Philipp Mondorf, Sondre Wold, Barbara Plank
CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
Wenji Fang, Shang Liu, Jing Wang et al.
Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment
Haoyuan WU, Haisheng Zheng, Yuan Pu et al.
Circuit-Tracer: A New Library for Finding Feature Circuits
Michael Hanna, Mateusz Piotrowski, Jack Lindsey et al.
Circuit Transformer: A Transformer That Preserves Logical Equivalence
Xihan Li, Xing Li, Lei Chen et al.
Circumventing Shortcuts in Audio-visual Deepfake Detection Datasets with Unsupervised Learning
Stefan Smeu, Dragos-Alexandru Boldisor, Dan Oneata et al.
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
Yang Liu, Zinan Zheng, Jiashun Cheng et al.
CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry
David Tschirschwitz, Volker Rodehorst
CitaLaw: Enhancing LLM with Citations in Legal Domain
Kepu Zhang, Weijie Yu, Sunhao Dai et al.
Citation Amnesia: On The Recency Bias of NLP and Other Academic Fields
Jan Philip Wahle, Terry Lima Ruas, Mohamed Abdalla et al.
Citation Drift: Measuring Reference Stability in Multi-Turn LLM Conversations
Gokul Srinath Seetha Ram
Citation Drift: Measuring Reference Stability in Multi-Turn LLM Conversations
Gokul Srinath Seetha Ram
Citations and Trust in LLM Generated Responses
Yifan Ding, Matthew Facciani, Ellen Joyce et al.
CiteBART: Learning to Generate Citations for Local Citation Recommendation
Ege Yiğit Çelik, Selma Tekir
CiteEval: Principle-Driven Citation Evaluation for Source Attribution
Yumo Xu, Peng Qi, Jifan Chen et al.
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction
Harsh Maheshwari, Srikanth Tenneti, Alwarappan Nakkiran
CiteLab: Developing and Diagnosing LLM Citation Generation Workflows via the Human-LLM Interaction
Jiajun Shen, Tong Zhou, Yubo Chen et al.
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
Yupu Hao, Pengfei Cao, Zhuoran Jin et al.
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar, Lie Lu
CityAnchor: City-scale 3D Visual Grounding with Multi-modality LLMs
Jinpeng Li, Haiping Wang, Jiabin chen et al.
CityEQA: A Hierarchical LLM Agent on Embodied Question Answering Benchmark in City Space
Yong Zhao, Kai Xu, Zhengqiu Zhu et al.
CityGaussianV2: Efficient and Geometrically Accurate Reconstruction for Large-Scale Scenes
Yang Liu, Chuanchen Luo, Zhongkai Mao et al.
CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstruction
Yuanyuan Gao, Hao Li, Jiaqi Chen et al.
City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data
Tianxing Wu, Lizhe Cao, Shuang Wang et al.