Papers
2,121 papers found
In-context Learning and Gradient Descent Revisited
Gilad Deutch, Nadav Magar, Tomer Natan et al.
Event Causality Is Key to Computational Story Understanding
Yidan Sun, Qin Chao, Boyang Li
ContraDoc: Understanding Self-Contradictions in Documents with Large Language Models
Jierui Li, Vipul Raheja, Dhruv Kumar
Flatness-Aware Gradient Descent for Safe Conversational AI
Leila Khalatbari, Saeid Hosseini, Hossein Sameti et al.
LLM-Human Pipeline for Cultural Grounding of Conversations
Rajkumar Pujari, Dan Goldwasser
Multi-Conditional Ranking with Large Language Models
Pouya Pezeshkpour, Estevam Hruschka
Constrained Decoding with Speculative Lookaheads
Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das et al.
Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions
Joo Bon Maeng, Seongmin Lee, Seokin Seo et al.
ParaICL: Towards Parallel In-Context Learning
Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty et al.
Data Poisoning for In-context Learning
Pengfei He, Han Xu, Yue Xing et al.
A Survey to Recent Progress Towards Understanding In-Context Learning
Haitao Mao, Guangliang Liu, Yao Ma et al.
Explainable ICD Coding via Entity Linking
Leonor Barreiros, Isabel Coutinho, Gonçalo Correia et al.
Team Conversational AI: Introducing Effervesce
Erjon Skenderi, Salla-Maaria Laaksonen, Jukka Huhtamäki
Understanding Lifecycle Management Complexity of Datacenter Topologies
Mingyang Zhang, Radhika Niranjan Mysore, Sucha Supittayapornpong et al.
Comb Decoding towards Collision-Free WiFi
Shangqing Zhao, Zhe Qu, Zhengping Luo et al.
CodedBulk: Inter-Datacenter Bulk Transfers using Network Coding
Shih-Hao Tseng, Saksham Agarwal, Rachit Agarwal et al.
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
Jie You, Jae-Won Chung, Mosharaf Chowdhury
Enabling Users to Control their Internet
Ammar Tahir, Radhika Mittal
Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing
Jayashree Mohan, Ashlie Martinez, Soujanya Ponnapalli et al.
Conditional Probability Estimation
Marco E. G. V. Cattaneo
Consistent Estimation given Missing Data
Karthika Mohan, Judea Pearl
A New Perspective on Learning Context-Specific Independence
Yujia Shen, Arthur Choi, Adnan Darwiche
Online Updating of Conditional Linear Gaussian Bayesian Networks
Anders L Madsen, Kristian G Olesen, Frank Jensen et al.
Bounding Counterfactuals under Selection Bias
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas et al.
On Correlating Sonar Images
Richard J. Rikoski, J. Tory Cobb, Daniel C. Brown