Summary of Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era Of Large Language Models, by Shubham Kumar Nigam et al.
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Modelsby…
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Modelsby…
SLaNC: Static LayerNorm Calibrationby Mahsa Salmani, Nikita Trukhanov, Ilya SoloveychikFirst submitted to arxiv on: 14…
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAEby Emmanouil Panagiotou, Manuel Heurich, Tim…
Learning Linear Attention in Polynomial Timeby Morris Yau, Ekin Akyürek, Jiayuan Mao, Joshua B. Tenenbaum,…
DAG-aware Transformer for Causal Effect Estimationby Manqing Liu, David R. Bellamy, Andrew L. BeamFirst submitted…
Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Recordsby…
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Tracesby DiJia Su, Sainbayar…
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Modelsby Chengshuai Shi, Kun Yang,…
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysisby Hongru Yang, Bhavya…
ReLU’s Revival: On the Entropic Overload in Normalization-Free Large Language Modelsby Nandan Kumar Jha, Brandon…