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)
All recent Computation and Language articles on arXiv.org for the Fediverse
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