THE DEVIL IS IN THE NEURONS: INTERPRETING AND MITIGATING SOCIAL BIASES IN PRE-TRAINED LANGUAGE MODELS
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
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SALMON: SELF-ALIGNMENT WITH INSTRUCTABLE REWARD MODELS
- Zhiqing Sun
- Yikang Shen
- et al.
- 2024
- ICLR 2024
MULTI-VIEW CAUSAL REPRESENTATION LEARNING WITH PARTIAL OBSERVABILITY
- Dingling Yao
- Danru Xu
- et al.
- 2024
- ICLR 2024
BACKDOOR SECRETS UNVEILED: IDENTIFYING BACKDOOR DATA WITH OPTIMIZED SCALED PREDICTION CONSISTENCY
- Soumyadeep Pal
- Yuguang Yao
- et al.
- 2024
- ICLR 2024
FORWARD LEARNING WITH TOP-DOWN FEEDBACK: EMPIRICAL AND ANALYTICAL CHARACTERIZATION
- Ravi Srinivasan
- Francesca Mignacco
- et al.
- 2024
- ICLR 2024
HAZARD CHALLENGE: EMBODIED DECISION MAKING IN DYNAMICALLY CHANGING ENVIRONMENTS
- Qinhong Zhou
- Sunli Chen
- et al.
- 2024
- ICLR 2024
PILOT: AN O(1/K)-CONVERGENT APPROACH FOR POLICY EVALUATION WITH NONLINEAR FUNCTION APPROXIMATION
- Zhuqing Liu
- Xin Zhang
- et al.
- 2024
- ICLR 2024
Analyzing Generalization of Neural Networks through Loss Path Kernels
- Yilan Chen
- Wei Huang
- et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- Yuankai Luo
- Veronika Thost
- et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- Prateek Yadav
- Derek Tam
- et al.
- 2023
- NeurIPS 2023