Search Results for author:
Found 12 papers, 8 papers with code
MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
Retrieval-Augmented Generation (RAG) improves Large Language Models (LLMs) by using external knowledge, but it struggles with precise entity information retrieval.
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs
Besides, the construction method can also be applied to civil cases and achieve promising results.
Configurable Foundation Models: Building LLMs from a Modular Perspective
We first formalize modules into emergent bricks - functional neuron partitions that emerge during the pre-training phase, and customized bricks - bricks constructed via additional post-training to improve the capabilities and knowledge of LLMs.
PersLLM: A Personified Training Approach for Large Language Models
Large language models exhibit aspects of human-level intelligence that catalyze their application as human-like agents in domains such as social simulations, human-machine interactions, and collaborative multi-agent systems.
Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity
For the first time, we show that zero-shot generalization during instruction tuning is a form of similarity-based generalization between training and test data at the instance level.
Advancing LLM Reasoning Generalists with Preference Trees
We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning.
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
In practice, the multifaceted nature of human preferences inadvertently introduces what is known as the "alignment tax" -a compromise where enhancements in alignment within one objective (e. g., harmlessness) can diminish performance in others (e. g., helpfulness).
Exploration into Optimal State Estimation with Event-triggered Communication
This paper deals with the problem of remote estimation of the state of a discrete-time stochastic linear system observed by a sensor with computational capacity to calculate local estimates.
Country Image in COVID-19 Pandemic: A Case Study of China
Therefore, in this study, we take China as a specific and typical case and investigate its image with aspect-based sentiment analysis on a large-scale Twitter dataset.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System
By exposing the options of poetry genres, styles and revision modes, Jiuge, acting as a professional assistant, allows constant and active participation of users in poetic creation.
Enhancing Stock Movement Prediction with Adversarial Training
The key novelty is that we propose to employ adversarial training to improve the generalization of a neural network prediction model.
