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Learning and Reasoning Multifaceted and Longitudinal Data for Poverty Estimates and Livelihood Capabilities of Lagged Regions in Rural India. (arXiv:2304.13958v1 [cs.CL]) 

Retrieval-based Knowledge Augmented Vision Language Pre-training. (arXiv:2304.13923v1 [cs.CV]) 

Controllable Data Augmentation for Context-Dependent Text-to-SQL. (arXiv:2304.13902v1 [cs.CL]) 

Neural Keyphrase Generation: Analysis and Evaluation. (arXiv:2304.13883v1 [cs.CL]) 

MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. (arXiv:2304.13875v1 [cs.CL]) 

Transferring Procedural Knowledge across Commonsense Tasks. (arXiv:2304.13867v1 [cs.CL]) 

Is a prompt and a few samples all you need? Using GPT-4 for data augmentation in low-resource classification tasks. (arXiv:2304.13861v1 [cs.CL]) 

Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3. (arXiv:2304.13846v1 [physics.app-ph]) 

Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models. (arXiv:2304.13835v1 [cs.CL]) 

Translate to Disambiguate: Zero-shot Multilingual Word Sense Disambiguation with Pretrained Language Models. (arXiv:2304.13803v1 [cs.CL]) 

Fine Tuning with Abnormal Examples. (arXiv:2304.13783v1 [cs.CL]) 

The Internal State of an LLM Knows When its Lying. (arXiv:2304.13734v1 [cs.CL]) 

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model. (arXiv:2304.13731v1 [eess.AS]) 

ThreatCrawl: A BERT-based Focused Crawler for the Cybersecurity Domain. (arXiv:2304.11960v2 [cs.CR] UPDATED) 

Boosting Theory-of-Mind Performance in Large Language Models via Prompting. (arXiv:2304.11490v3 [cs.AI] UPDATED) 

GPT-NER: Named Entity Recognition via Large Language Models. (arXiv:2304.10428v2 [cs.CL] UPDATED) 

LLM as A Robotic Brain: Unifying Egocentric Memory and Control. (arXiv:2304.09349v2 [cs.AI] UPDATED) 

The language of sounds unheard: Exploring sensory semantic knowledge in large language models. (arXiv:2304.07830v2 [cs.CL] UPDATED) 

Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games. (arXiv:2304.07258v2 [cs.CL] UPDATED) 

On the Risks of Stealing the Decoding Algorithms of Language Models. (arXiv:2303.04729v3 [cs.LG] UPDATED) 

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