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Large Language Models

7,668 papers

Papers per year

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Papers

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024
Language-to-Code Translation with a Single Labeled Example EMNLP 2024
Attribute or Abstain: Large Language Models as Long Document Assistants EMNLP 2024
Retrieved In-Context Principles from Previous Mistakes EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification EMNLP 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM? EMNLP 2024
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel EMNLP 2024
Humans or LLMs as the Judge? A Study on Judgement Bias EMNLP 2024
WPO: Enhancing RLHF with Weighted Preference Optimization EMNLP 2024
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias EMNLP 2024
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors EMNLP 2024
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios EMNLP 2024
Perceptions of Linguistic Uncertainty by Language Models and Humans EMNLP 2024
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding EMNLP 2024
Knowledge Conflicts for LLMs: A Survey EMNLP 2024
MisinfoEval: Generative AI in the Era of “Alternative Facts” EMNLP 2024
A Thorough Examination of Decoding Methods in the Era of LLMs EMNLP 2024
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights EMNLP 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024
LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing EMNLP 2024