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Found 9 papers, 7 papers with code
End-to-end Training For Financial Report Summarization
Quoted companies are requested to periodically publish financial reports in textual form.
Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL
To this end, it considers the following LLM settings: (1) ZSL, including general-purpose reasoning or not; (2) SFT, with and without task-specific reasoning traces; (3) RL, exploring the use of different rewarding functions, both the established EXecution accuracy (EX) and a mix with fine-grained ones that also account the precision, recall, and cardinality of partially correct answers; (4) SFT+RL, i. e, a two-stage approach that combines SFT and RL.
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
Large Language Models (LLMs) have demonstrated impressive performance across various tasks.
BONES: a Benchmark fOr Neural Estimation of Shapley values
To bridge this gap, we present BONES, a new benchmark focused on neural estimation of Shapley Value.
Benchmarking Representations for Speech, Music, and Acoustic Events
Limited diversity in standardized benchmarks for evaluating audio representation learning (ARL) methods may hinder systematic comparison of current methods' capabilities.
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding
This paper presents a groundbreaking multimodal, multi-task, multi-teacher joint-grained knowledge distillation model for visually-rich form document understanding.
DQNC2S: DQN-based Cross-stream Crisis event Summarizer
Summarizing multiple disaster-relevant data streams simultaneously is particularly challenging as existing Retrieve&Re-ranking strategies suffer from the inherent redundancy of multi-stream data and limited scalability in a multi-query setting.
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection
The Document-based Visual Question Answering competition addresses the automatic detection of parent-child relationships between elements in multi-page documents.
ITALIC: An Italian Intent Classification Dataset
Recent large-scale Spoken Language Understanding datasets focus predominantly on English and do not account for language-specific phenomena such as particular phonemes or words in different lects.
