Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
- Ivoline Ngong
- Swanand Ravindra Kadhe
- et al.
- 2024
- NeurIPS 2024
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Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
- Dennis Wei
- Inkit Padhi
- et al.
- 2024
- NeurIPS 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
- Debarpan Bhattacharyya
- Sumanta Mukherjee
- et al.
- 2024
- NeurIPS 2024
Consistency-based Black-box Uncertainty Quantification for Text-to-SQL
- Debarun Bhattacharjya
- Balaji Ganesan
- et al.
- 2024
- NeurIPS 2024
Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
- Jonas Zausinger
- Lars Pennig
- et al.
- 2024
- NeurIPS 2024
Compositional Communication with LLMs and Reasoning about Chemical Structures
- Dmitry Zubarev
- Sarath Swaminathan
- 2024
- NeurIPS 2024
Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?
- 2024
- NeurIPS 2024
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications
- Bo Wen
- Xin Zhang
- 2024
- NeurIPS 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs
- Megh Thakkar
- Yash More
- et al.
- 2024
- NeurIPS 2024
Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging
- Ismail Erbas
- Vikas Pandey
- et al.
- 2024
- NeurIPS 2024