Chen, Bin

SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training

Pipeline Parallelism (PP) serves as a crucial technique for training Large Language Models (LLMs), owing to its capability to alleviate memory pressure from model states with relatively low...

CrisisLink: Closing the Loop between Underspecified Crisis Posts and Humanitarian Coordination

Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization

Revisiting Backdoor Attacks on LLMs: A Stealthy and Practical Poisoning Framework via Harmless Inputs

CHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference Alignment

CoT-Lock: Embedding Logic Fingerprints into the Chain-of-Thought of Large Reasoning Models

Weak Ties, Strong Signals: Efficient Training Data Detection in Diffusion LLMs via Independent Token Sampling

Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns

A Twin-Candidate Based Approach for Event Pronoun Resolution using Composite Kernel

Resolving Event Noun Phrases to Their Verbal Mentions

A Unified Event Coreference Resolution by Integrating Multiple Resolvers

Exploiting Discourse Analysis for Article-Wide Temporal Classification

Improving Twitter Named Entity Recognition using Word Representations

An Exploratory Study on Model Compression for Text-to-SQL

Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison

Comparing a BERT Classifier and a GPT classifier for Detecting Connective Language Across Multiple Social Media

Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning

Mitigating Linguistic Artifacts in Emotion Recognition for Conversations from TV Scripts to Daily Conversations