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K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization

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What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

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Automatic Model Selection with Large Language Models for Reasoning

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C-EVAL: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

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Composing Parameter-Efficient Modules with Arithmetic Operations

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Contrastive Learning of Sentence Embeddings from Scratch

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FELM: Benchmarking Factuality Evaluation of Large Language Models

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Mega: Moving Average Equipped Gated Attention

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Self-Evaluation Guided Beam Search for Reasoning

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Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN

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Capturing structural locality in non-parametric language models

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CTRLsum: Towards Generic Controllable Text Summarization

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Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

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Prompt Consistency for Zero-Shot Task Generalization

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Towards a unified view of parameter-efficient transfer learning

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Dependency Induction Through the Lens of Visual Perception

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Efficient Nearest Neighbor Language Models

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The source-target domain mismatch problem in machine translation

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A probabilistic formulation of unsupervised text style transfer

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Learning sparse prototypes for text generation

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On the sentence embeddings from pre-trained language models

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Revisiting self-training for neural sequence generation

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A surprisingly effective fix for deep latent variable modeling of text

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Cross-lingual syntactic transfer through unsupervised adaptation of invertible projections

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Lagging inference networks and posterior collapse in variational autoencoders

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Texar: A modularized, versatile, and extensible toolkit for text generation

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StructVae: Tree-structured latent variable models for semi-supervised semantic parsing

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Unsupervised learning of syntactic structure with invertible neural projections

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Efficient correlated topic modeling with topic embedding

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