Improving Health Question Answering with Reliable and Time-Aware Evidence Retrieval
Comments Accepted to NAACL 2024 (Findings)
期刊&会议
NAACL
North American Chapter of the Association for Computational Linguistics · 会议 · Natural Language Processing
Measuring Cross-lingual Transfer in Bytes
Comments NAACL 2024
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models
Comments Published in NAACL 2024 Industry Track
Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls
Comments Published in NAACL 2024 Industry Track
UMBCLU at SemEval-2024 Task 1A and 1C: Semantic Textual Relatedness with and without machine translation
Comments Accepted at SemEval 2024 (Colocated with NAACL 2024)
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
Comments To appear at NAACL 2024
Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
Comments Accepted by NAACL 2024 industry track (6 pages, 4 figures). Source code to be found at https://github.com/EQTPartners/PTEC
Re-evaluating the Need for Multimodal Signals in Unsupervised Grammar Induction
Comments NAACL Findings 2024
MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
Comments Accepted to the NAACL 2024 Main Conference
Discourse-Aware In-Context Learning for Temporal Expression Normalization
Comments Accepted at NAACL 2024
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models
Comments NAACL 2024
The Impact of Depth on Compositional Generalization in Transformer Language Models
Comments Accepted to NAACL 2024
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study
Comments NAACL 2024 (Findings)
XNLIeu: a dataset for cross-lingual NLI in Basque
Comments Accepted to NAACL 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
Comments NAACL 2024 Findings
Control-DAG: Constrained Decoding for Non-Autoregressive Directed Acyclic T5 using Weighted Finite State Automata
Comments 11 pages. NAACL 2024
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
Comments NAACL 2024
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
Comments NAACL-2024 main conference
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
Comments Accepted to NAACL 2024
Which One? Leveraging Context Between Objects and Multiple Views for Language Grounding
Journal ref North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Subspace Representations for Soft Set Operations and Sentence Similarities
Comments Accepted at NAACL 2024
Comparing Two Model Designs for Clinical Note Generation; Is an LLM a Useful Evaluator of Consistency?
Comments Accepted to NAACL 2024 Findings
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
Comments Accepted at the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2024)
Interplay of Machine Translation, Diacritics, and Diacritization
Comments Accepted to NAACL 2024 Main Conference
CodecLM: Aligning Language Models with Tailored Synthetic Data
Comments Accepted to Findings of NAACL 2024
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
Comments Accepted to NAACL 2024 Industry Track Paper
Fumbling in Babel: An Investigation into ChatGPT's Language Identification Ability
Comments Accepted to NAACL 2024 Findings
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
Comments Accepted to NAACL Main 2024
Show Your Work with Confidence: Confidence Bands for Tuning Curves
Comments Accepted to NAACL 2024. 18 pages, 20 figures
ADaPT: As-Needed Decomposition and Planning with Language Models
Comments NAACL 2024 (findings) camera-ready. Project Page: https://allenai.github.io/adaptllm
