Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. (arXiv:2306.05685v3 [cs.CL] UPDATED)
Lawyer LLaMA Technical Report. (arXiv:2305.15062v2 [cs.CL] UPDATED)
Adversarial Demonstration Attacks on Large Language Models. (arXiv:2305.14950v2 [cs.CL] UPDATED)
From Words to Wires: Generating Functioning Electronic Devices from Natural Language Descriptions. (arXiv:2305.14874v2 [cs.CL] UPDATED)
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation. (arXiv:2305.14838v2 [cs.CL] UPDATED)
BAND: Biomedical Alert News Dataset. (arXiv:2305.14480v2 [cs.CL] UPDATED)
Finding the Pillars of Strength for Multi-Head Attention. (arXiv:2305.14380v2 [cs.LG] UPDATED)
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. (arXiv:2305.14196v2 [cs.CL] UPDATED)
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. (arXiv:2305.14045v2 [cs.CL] UPDATED)
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. (arXiv:2305.13954v2 [cs.CL] UPDATED)
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. (arXiv:2305.13626v2 [cs.CL] UPDATED)
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes. (arXiv:2305.13499v2 [cs.CL] UPDATED)
Lion: Adversarial Distillation of Proprietary Large Language Models. (arXiv:2305.12870v2 [cs.CL] UPDATED)
D$^2$TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. (arXiv:2305.12767v2 [cs.CV] UPDATED)
Enhancing Logical Reasoning of Large Language Models through Logic-Driven Data Augmentation. (arXiv:2305.12599v2 [cs.CL] UPDATED)
Are Your Explanations Reliable? Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack. (arXiv:2305.12351v2 [cs.LG] UPDATED)
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining. (arXiv:2305.12074v2 [cs.CL] UPDATED)
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs. (arXiv:2305.11792v2 [cs.CL] UPDATED)
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. (arXiv:2305.11541v3 [cs.CL] UPDATED)
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. (arXiv:2305.11490v3 [cs.CV] UPDATED)
All recent Computation and Language articles on arXiv.org for the Fediverse
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