Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification
Comments EMNLP 2023 findings
期刊&会议
EMNLP
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Predictive Chemistry Augmented with Text Retrieval
Comments EMNLP 2023
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting
Comments Camera-ready. Accepted by EMNLP 2023 Findings
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey
Comments Accepted by Findings of EMNLP 2023
Self-Supervised Behavior Cloned Transformers are Path Crawlers for Text Games
Comments Accepted to EMNLP 2023 (Findings)
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly
Comments EMNLP 2023 Findings
Domain Private Transformers for Multi-Domain Dialog Systems
Comments Accepted to Findings of EMNLP 2023 (short paper). Code available at https://github.com/asappresearch/domain-private-transformers
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
Comments Accepted to EMNLP 2023 Findings
DSI++: Updating Transformer Memory with New Documents
Comments Accepted at EMNLP 2023 main conference
OpenAsp: A Benchmark for Multi-document Open Aspect-based Summarization
Comments EMNLP 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
Comments 33 pages, accepted at EMNLP 2023 Findings
Revisiting the Optimality of Word Lengths
Comments Published at EMNLP 2023
Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?
Comments Accepted to EMNLP, 2024
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine Translation
Comments Accepted at WiNLP Workshop, EMNLP 2023. This is a non-archival extended abstract version, to cite please refer to our complete paper: arXiv:2311.03767
WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words
Comments Published at the BabyLM Challenge, a shared task co-sponsored by CMCL 2023 and CoNLL 2023, hosted by EMNLP 2023
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
Comments Accepted in EMNLP 2023 as a long paper
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models
Comments Accepted at EMNLP 2023
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
Comments Accepted at EMNLP 2023. For the associated GitHub repository, see https://github.com/jgroschwitz/GrAPES
Lazy-k: Decoding for Constrained Token Classification
Comments Accepted EMNLP Main 2023
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities
Comments This extended abstract was presented at the Generation, Evaluation and Metrics workshop at Empirical Methods in Natural Language Processing in 2023 (GEM@EMNLP 2023) in Singapore
Combining Counting Processes and Classification Improves a Stopping Rule for Technology Assisted Review
Comments Accepted at EMNLP 2023 Findings
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
Comments EMNLP 2023
Modeling Empathic Similarity in Personal Narratives
Comments Published at EMNLP 2023
Error Detection for Text-to-SQL Semantic Parsing
Comments EMNLP 2023 (Findings); Updated with new experiment results
Polyglot or Not? Measuring Multilingual Encyclopedic Knowledge in Foundation Models
Comments EMNLP 2023 (Main)
DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules
Comments EMNLP 2023
The neural dynamics of auditory word recognition and integration
Comments Published at EMNLP 2023
TheoremQA: A Theorem-driven Question Answering dataset
Comments Accepted to Main Conference of EMNLP 2023
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation
Journal ref EMNLP 2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Comments Accepted to the EMNLP 2023 Conference
