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Found 8 papers, 4 papers with code
Comprehensive Cognitive LLM Agent for Smartphone GUI Automation
Large language models (LLMs) have shown remarkable potential as human-like autonomous language agents to interact with real-world environments, especially for graphical user interface (GUI) automation.
Is it Possible to Edit Large Language Models Robustly?
Q3: Which knowledge features are correlated with the performance and robustness of editing?
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents
Large language models (LLMs) have dramatically enhanced the field of language intelligence, as demonstrably evidenced by their formidable empirical performance across a spectrum of complex reasoning tasks.
Multi-turn Dialogue Comprehension from a Topic-aware Perspective
On the other hand, the split segments are an appropriate element of multi-turn dialogue response selection.
Query Rewriting for Retrieval-Augmented Large Language Models
Furthermore, to better align the query to the frozen modules, we propose a trainable scheme for our pipeline.
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization
Based on the remarkable achievements of pre-trained language models in abstractive summarization, the copying mechanism has proved helpful by improving the factuality, stability, and overall performance.
Structural Characterization for Dialogue Disentanglement
Tangled multi-party dialogue contexts lead to challenges for dialogue reading comprehension, where multiple dialogue threads flow simultaneously within a common dialogue record, increasing difficulties in understanding the dialogue history for both human and machine.
Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension
Multi-party multi-turn dialogue comprehension brings unprecedented challenges on handling the complicated scenarios from multiple speakers and criss-crossed discourse relationship among speaker-aware utterances.
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