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Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. (arXiv:2307.14367v1 [q-bio.QM]) 

A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe. (arXiv:2307.14361v1 [q-bio.QM]) 

Say Goodbye to RNN-T Loss: A Novel CIF-based Transducer Architecture for Automatic Speech Recognition. (arXiv:2307.14132v2 [cs.SD] UPDATED) 

Evaluating Large Language Models for Radiology Natural Language Processing. (arXiv:2307.13693v2 [cs.CL] UPDATED) 

Empower Your Model with Longer and Better Context Comprehension. (arXiv:2307.13365v2 [cs.CL] UPDATED) 

RRAML: Reinforced Retrieval Augmented Machine Learning. (arXiv:2307.12798v3 [cs.CL] UPDATED) 

Is ChatGPT a Good Personality Recognizer? A Preliminary Study. (arXiv:2307.03952v2 [cs.CL] UPDATED) 

Fraunhofer SIT at CheckThat! 2023: Tackling Classification Uncertainty Using Model Souping on the Example of Check-Worthiness Classification. (arXiv:2307.02377v2 [cs.CL] UPDATED) 

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. (arXiv:2307.00866v2 [cs.CL] UPDATED) 

Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets. (arXiv:2307.00610v2 [cs.LG] UPDATED) 

Towards Explainable and Language-Agnostic LLMs: Symbolic Reverse Engineering of Language at Scale. (arXiv:2306.00017v4 [cs.CL] UPDATED) 

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. (arXiv:2305.19472v2 [cs.CL] UPDATED) 

Automatic Emotion Experiencer Recognition. (arXiv:2305.16731v4 [cs.CL] UPDATED) 

Context-aware attention layers coupled with optimal transport domain adaptation and multimodal fusion methods for recognizing dementia from spontaneous speech. (arXiv:2305.16406v2 [cs.CL] UPDATED) 

Science in the Era of ChatGPT, Large Language Models and Generative AI: Challenges for Research Ethics and How to Respond. (arXiv:2305.15299v3 [cs.CY] UPDATED) 

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. (arXiv:2305.12485v2 [cs.CL] UPDATED) 

In-Context Retrieval-Augmented Language Models. (arXiv:2302.00083v2 [cs.CL] UPDATED) 

ThoughtSource: A central hub for large language model reasoning data. (arXiv:2301.11596v5 [cs.CL] UPDATED) 

Large Language Models Struggle to Learn Long-Tail Knowledge. (arXiv:2211.08411v2 [cs.CL] UPDATED) 

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning. (arXiv:2205.14704v4 [cs.CL] UPDATED) 

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