Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. (arXiv:2301.12534v4 [cs.CL] UPDATED)
Interpreting Embedding Spaces by Conceptualization. (arXiv:2209.00445v3 [cs.CL] UPDATED)
An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications. (arXiv:2204.09885v2 [cs.CL] UPDATED)
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. (arXiv:2104.07505v2 [cs.CL] UPDATED)
Learning From How Humans Correct. (arXiv:2102.00225v15 [cs.CL] UPDATED)
FigStep: Jailbreaking Large Vision-language Models via Typographic Visual Prompts. (arXiv:2311.05608v1 [cs.CR])
FAMuS: Frames Across Multiple Sources. (arXiv:2311.05601v1 [cs.CL])
Accuracy of a Vision-Language Model on Challenging Medical Cases. (arXiv:2311.05591v1 [cs.CV])
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations. (arXiv:2311.05584v1 [cs.LG])
Removing RLHF Protections in GPT-4 via Fine-Tuning. (arXiv:2311.05553v1 [cs.CL])
The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm Generation. (arXiv:2311.05552v1 [cs.CL])
Towards End-to-End Spoken Grammatical Error Correction. (arXiv:2311.05550v1 [cs.CL])
Text Representation Distillation via Information Bottleneck Principle. (arXiv:2311.05472v1 [cs.CL])
All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation. (arXiv:2311.05451v1 [cs.CL])
Cognitively Inspired Components for Social Conversational Agents. (arXiv:2311.05450v1 [cs.CL])
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. (arXiv:2311.05437v1 [cs.CV])
Mirror: A Universal Framework for Various Information Extraction Tasks. (arXiv:2311.05419v1 [cs.CL])
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation. (arXiv:2311.05379v1 [cs.CL])
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs. (arXiv:2311.05374v1 [cs.CL])
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering. (arXiv:2311.05350v1 [cs.CL])
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