Strong and Efficient Baselines for Open Domain Conversational Question Answering
Comments Accepted to EMNLP 2023 Findings
期刊&会议
EMNLP
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
Comments Accepted to EMNLP 2023
Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding
Comments Pre-print for EMNLP 2023
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
Comments EMNLP 2023
Reasoning about Ambiguous Definite Descriptions
Comments EMNLP 2023 Findings
Multilingual k-Nearest-Neighbor Machine Translation
Comments Accepted to EMNLP
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
Comments Accepted at EMNLP 2023 (Main Conference)
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition
Comments Findings of EMNLP 2023
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
Comments EMNLP 2023 Findings
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models
Comments accepted to the Findings of EMNLP 2023. arXiv admin note: text overlap with arXiv:2212.09895
H2O Open Ecosystem for State-of-the-art Large Language Models
Comments EMNLP 2023 Demo - ACL Empirical Methods in Natural Language Processing
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
Comments Accepted by EMNLP 2023 main conference
Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures
Comments Accepted by EMNLP 2023 (The Industry Track)
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
Comments Accepted to the Findings of EMNLP 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Comments Accepted at Findings of EMNLP 2023
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation
Comments Accepted by EMNLP 2023 main conference
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Comments EMNLP 2023 Findings. Camera-ready version
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation
Comments Accepted at EMNLP 2023 (Main Conference), camera-ready
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
Comments Accepted to EMNLP 2023
Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models
Comments EMNLP 2023
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations
Comments Accepted as a long paper at EMNLP 2023
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
Comments Published in EMNLP 2023: Main track
Reasoning with Language Model is Planning with World Model
Comments EMNLP 2023. Code is available at https://github.com/Ber666/llm-reasoners
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification
Comments EMNLP 2023
Don't Take This Out of Context! On the Need for Contextual Models and Evaluations for Stylistic Rewriting
Comments emnlp 2023 main camera ready
ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning
Comments Findings of EMNLP 2023. 10 pages, 6 figures, 5 tables (22 pages, 8 figures, 15 tables including references and appendices)
Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings
Comments Accepted at EMNLP 2023
NAIL: Lexical Retrieval Indices with Efficient Non-Autoregressive Decoders
Comments To appear at EMNLP 2023
Automatic Model Selection with Large Language Models for Reasoning
Comments EMNLP 2023 Findings
TalkUp: Paving the Way for Understanding Empowering Language
Comments Findings of EMNLP 2023
