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Soft Prompt Guided Joint Learning for Cross-Domain Sentiment Analysis. (arXiv:2303.00815v1 [cs.CL]) 

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers. (arXiv:2303.00807v1 [cs.IR]) 

Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition. (arXiv:2303.00802v1 [cs.CL]) 

Building High-accuracy Multilingual ASR with Gated Language Experts and Curriculum Training. (arXiv:2303.00786v1 [cs.CL]) 

Language Is Not All You Need: Aligning Perception with Language Models. (arXiv:2302.14045v2 [cs.CL] UPDATED) 

HULAT at SemEval-2023 Task 10: Data augmentation for pre-trained transformers applied to the detection of sexism in social media. (arXiv:2302.12840v2 [cs.CL] UPDATED) 

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. (arXiv:2302.12813v2 [cs.CL] UPDATED) 

E2E Spoken Entity Extraction for Virtual Agents. (arXiv:2302.10186v3 [eess.AS] UPDATED) 

UzbekTagger: The rule-based POS tagger for Uzbek language. (arXiv:2301.12711v2 [cs.CL] UPDATED) 

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education. (arXiv:2301.08771v2 [cs.CL] UPDATED) 

Analysing Discrete Self Supervised Speech Representation for Spoken Language Modeling. (arXiv:2301.00591v3 [cs.CL] UPDATED) 

Training language models to summarize narratives improves brain alignment. (arXiv:2212.10898v2 [cs.CL] UPDATED) 

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. (arXiv:2212.05032v3 [cs.CV] UPDATED) 

Avoiding spurious correlations via logit correction. (arXiv:2212.01433v2 [cs.LG] UPDATED) 

UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. (arXiv:2212.00959v2 [cs.CL] UPDATED) 

Towards continually learning new languages. (arXiv:2211.11703v3 [cs.CL] UPDATED) 

Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition. (arXiv:2211.04717v2 [cs.SD] UPDATED) 

Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning. (arXiv:2210.12587v3 [cs.CL] UPDATED) 

Binding Language Models in Symbolic Languages. (arXiv:2210.02875v2 [cs.CL] UPDATED) 

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization. (arXiv:2210.01241v3 [cs.CL] UPDATED) 

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