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Found 9 papers, 7 papers with code
Breaking the Data Barrier -- Building GUI Agents Through Task Generalization
For instance, multimodal mathematical reasoning enhances performance on AndroidWorld by an absolute 6. 3%.
Non-myopic Generation of Language Models for Reasoning and Planning
Large Language Models have demonstrated remarkable abilities in reasoning and planning by breaking down complex problems into sequential steps.
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Evaluating Large Language Models (LLMs) as general-purpose agents is essential for understanding their capabilities and facilitating their integration into practical applications.
ConceptPsy:A Benchmark Suite with Conceptual Comprehensiveness in Psychology
The critical field of psychology necessitates a comprehensive benchmark to enhance the evaluation and development of domain-specific Large Language Models (LLMs).
Contrastive Learning of Sentence Embeddings from Scratch
Contrastive learning has been the dominant approach to train state-of-the-art sentence embeddings.
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
We present C-Eval, the first comprehensive Chinese evaluation suite designed to assess advanced knowledge and reasoning abilities of foundation models in a Chinese context.
Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Contrastive learning-based methods, such as unsup-SimCSE, have achieved state-of-the-art (SOTA) performances in learning unsupervised sentence embeddings.
S-SimCSE: Sampled Sub-networks for Contrastive Learning of Sentence Embedding
The corresponding outputs, two sentence embeddings derived from the same sentence with different dropout masks, can be used to build a positive pair.
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
In particular, we propose a novel joint-training framework to train plain CNN by leveraging the gradients of the ResNet counterpart.
