Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech. (arXiv:2311.08607v1 [cs.CL])
Navigating the Ocean of Biases: Political Bias Attribution in Language Models via Causal Structures. (arXiv:2311.08605v1 [cs.CL])
DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. (arXiv:2311.08598v1 [cs.CL])
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment. (arXiv:2311.08596v1 [cs.CL])
ACID: Abstractive, Content-Based IDs for Document Retrieval with Language Models. (arXiv:2311.08593v1 [cs.CL])
AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications. (arXiv:2311.08592v1 [cs.SE])
PEMA: Plug-in External Memory Adaptation for Language Models. (arXiv:2311.08590v1 [cs.CL])
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation. (arXiv:2311.08588v1 [cs.CL])
Asking More Informative Questions for Grounded Retrieval. (arXiv:2311.08584v1 [cs.CL])
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. (arXiv:2311.08579v1 [cs.CL])
Towards Evaluating AI Systems for Moral Status Using Self-Reports. (arXiv:2311.08576v1 [cs.LG])
Parameter-Efficient Multilingual Summarisation: An Empirical Study. (arXiv:2311.08572v1 [cs.CL])
MAgIC: Benchmarking Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. (arXiv:2311.08562v1 [cs.CL])
UT5: Pretraining Non autoregressive T5 with unrolled denoising. (arXiv:2311.08552v1 [cs.CL])
Efficient Continual Pre-training for Building Domain Specific Large Language Models. (arXiv:2311.08545v1 [cs.CL])
Extending Multilingual Machine Translation through Imitation Learning. (arXiv:2311.08538v1 [cs.CL])
Natural Language Processing for Financial Regulation. (arXiv:2311.08533v1 [cs.CL])
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer. (arXiv:2311.08526v1 [cs.CL])
LLMs cannot find reasoning errors, but can correct them!. (arXiv:2311.08516v1 [cs.AI])
CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation. (arXiv:2311.08511v1 [cs.CL])
All recent Computation and Language articles on arXiv.org for the Fediverse
Inspired by https://twitter.com/arxiv_cscl