Goal-Driven Explainable Clustering via Language Descriptions. (arXiv:2305.13749v2 [cs.CL] UPDATED)
Cross-Attention is Not Enough: Incongruity-Aware Dynamic Hierarchical Fusion for Multimodal Affect Recognition. (arXiv:2305.13583v4 [cs.CL] UPDATED)
Transfer-Free Data-Efficient Multilingual Slot Labeling. (arXiv:2305.13528v2 [cs.CL] UPDATED)
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. (arXiv:2305.13169v2 [cs.CL] UPDATED)
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. (arXiv:2304.09402v2 [cs.CL] UPDATED)
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models. (arXiv:2304.03738v3 [cs.CY] UPDATED)
Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning. (arXiv:2303.16445v2 [cs.CL] UPDATED)
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding. (arXiv:2303.12816v3 [cs.LG] UPDATED)
The Image of the Process Interpretation of Regular Expressions is Not Closed under Bisimulation Collapse. (arXiv:2303.08553v2 [cs.LO] UPDATED)
Interactive Text Generation. (arXiv:2303.00908v3 [cs.CL] UPDATED)
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. (arXiv:2302.13439v2 [cs.CL] UPDATED)
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis. (arXiv:2302.08624v6 [cs.CL] UPDATED)
Theory of Mind Might Have Spontaneously Emerged in Large Language Models. (arXiv:2302.02083v5 [cs.CL] UPDATED)
Are Language Models Worse than Humans at Following Prompts? It's Complicated. (arXiv:2301.07085v2 [cs.CL] UPDATED)
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations. (arXiv:2211.13308v4 [cs.CL] UPDATED)
HyperMixer: An MLP-based Low Cost Alternative to Transformers. (arXiv:2203.03691v3 [cs.CL] UPDATED)
TrainerAgent: Customizable and Efficient Model Training through LLM-Powered Multi-Agent System. (arXiv:2311.06622v1 [cs.AI])
PerceptionGPT: Effectively Fusing Visual Perception into LLM. (arXiv:2311.06612v1 [cs.CV])
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models. (arXiv:2311.06607v1 [cs.CV])
BizBench: A Quantitative Reasoning Benchmark for Business and Finance. (arXiv:2311.06602v1 [cs.CL])
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