Enchancing Semi-Supervised Learning for Extractive Summarization with an LLM-based pseudolabeler. (arXiv:2311.09559v1 [cs.CL])
Pachinko: Patching Interpretable QA Models through Natural Language Feedback. (arXiv:2311.09558v1 [cs.CL])
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. (arXiv:2311.09552v1 [cs.CL])
A Speed Odyssey for Deployable Quantization of LLMs. (arXiv:2311.09550v1 [cs.LG])
Towards Pragmatic Awareness in Question Answering: A Case Study in Maternal and Infant Health. (arXiv:2311.09542v1 [cs.CL])
Reducing Privacy Risks in Online Self-Disclosures with Language Models. (arXiv:2311.09538v1 [cs.CL])
Effective Large Language Model Adaptation for Improved Grounding. (arXiv:2311.09533v1 [cs.CL])
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. (arXiv:2311.09528v1 [cs.CL])
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-driven Training Data Generation. (arXiv:2311.09521v1 [cs.CL])
Leveraging Code to Improve In-context Learning for Semantic Parsing. (arXiv:2311.09519v1 [cs.CL])
GEE! Grammar Error Explanation with Large Language Models. (arXiv:2311.09517v1 [cs.CL])
Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents. (arXiv:2311.09513v1 [cs.CL])
One Size Does Not Fit All: Customizing Open-Domain Procedures. (arXiv:2311.09510v1 [cs.CL])
SegMix: A Simple Structure-Aware Data Augmentation Method. (arXiv:2311.09505v1 [cs.CL])
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU. (arXiv:2311.09502v1 [cs.CL])
Personalized Jargon Identification for Enhanced Interdisciplinary Communication. (arXiv:2311.09481v1 [cs.CL])
Show Your Work with Confidence: Confidence Bands for Tuning Curves. (arXiv:2311.09480v1 [cs.CL])
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems. (arXiv:2311.09476v1 [cs.CL])
JAB: Joint Adversarial Prompting and Belief Augmentation. (arXiv:2311.09473v1 [cs.AI])
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs. (arXiv:2311.09469v1 [cs.CL])
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