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Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning. (arXiv:2310.13448v1 [cs.CL]) 

Multiscale Superpixel Structured Difference Graph Convolutional Network for VL Representation. (arXiv:2310.13447v1 [cs.CV]) 

The Past, Present, and Future of Typological Databases in NLP. (arXiv:2310.13440v1 [cs.CL]) 

Self-Consistency of Large Language Models under Ambiguity. (arXiv:2310.13439v1 [cs.CL]) 

Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations. (arXiv:2310.13420v1 [cs.CL]) 

Towards Enhancing Relational Rules for Knowledge Graph Link Prediction. (arXiv:2310.13411v1 [cs.CL]) 

Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading. (arXiv:2310.13409v1 [cs.CL]) 

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models. (arXiv:2310.13395v1 [cs.CL]) 

POSQA: Probe the World Models of LLMs with Size Comparisons. (arXiv:2310.13394v1 [cs.CL]) 

Tuna: Instruction Tuning using Feedback from Large Language Models. (arXiv:2310.13385v1 [cs.CL]) 

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection. (arXiv:2310.13380v1 [cs.CL]) 

A Human-Robot Mutual Learning System with Affect-Grounded Language Acquisition and Differential Outcomes Training. (arXiv:2310.13377v1 [cs.RO]) 

Towards General Error Diagnosis via Behavioral Testing in Machine Translation. (arXiv:2310.13362v1 [cs.CL]) 

Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation. (arXiv:2310.13361v1 [cs.CV]) 

Analyzing Cognitive Plausibility of Subword Tokenization. (arXiv:2310.13348v1 [cs.CL]) 

Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs). (arXiv:2310.13343v1 [cs.CL]) 

Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets. (arXiv:2310.13340v1 [cs.CL]) 

Democratizing Reasoning Ability: Tailored Learning from Large Language Model. (arXiv:2310.13332v1 [cs.CL]) 

Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting. (arXiv:2310.13321v1 [cs.CL]) 

Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. (arXiv:2310.13316v1 [cs.CL]) 

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