EMNLP

Post Turing: Mapping the landscape of LLM Evaluation

Alexey Tikhonov, Ivan P. Yamshchikov

Comments Accepted for GEM @ EMNLP 2023

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection

Gretel Liz De la Peña Sarracén, Paolo Rosso, Robert Litschko, Goran Glavaš, Simone Paolo Ponzetto

Comments Accepted at EMNLP 2023 (Main Conference)

The language of prompting: What linguistic properties make a prompt successful?

Alina Leidinger, Robert van Rooij, Ekaterina Shutova

Comments Accepted to EMNLP 2023 Findings

Indicative Summarization of Long Discussions

Shahbaz Syed, Dominik Schwabe, Khalid Al-Khatib, Martin Potthast

Comments Accepted at EMNLP 2023 Main Conference

Towards Concept-Aware Large Language Models

Chen Shani, Jilles Vreeken, Dafna Shahaf

Comments EMNLP 2023 findings long paper

FAME: Flexible, Scalable Analogy Mappings Engine

Shahar Jacob, Chen Shani, Dafna Shahaf

Comments EMNLP 2023 main conference long paper

CASE: Commonsense-Augmented Score with an Expanded Answer Space

Wenkai Chen, Sahithya Ravi, Vered Shwartz

Comments Findings of EMNLP 2023

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos

Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng

Comments In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)

MetaReVision: Meta-Learning with Retrieval for Visually Grounded Compositional Concept Acquisition

Guangyue Xu, Parisa Kordjamshidi, Joyce Chai

Journal ref EMNLP-Finding(2023)

Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods

Jonathan Kamp, Lisa Beinborn, Antske Fokkens

Comments Short paper accepted to EMNLP 2023 main conference. Please cite the EMNLP version when available

LLMDet: A Third Party Large Language Models Generated Text Detection Tool

Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua

Comments Accepted to the Findings of EMNLP 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning

Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng

Comments Accepted to EMNLP 2023

Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information

Alla Chepurova, Aydar Bulatov, Yuri Kuratov, Mikhail Burtsev

Comments Accepted to Findings of the Association for Computational Linguistics: EMNLP 2023

The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models

Lovisa Hagström, Denitsa Saynova, Tobias Norlund, Moa Johansson, Richard Johansson

Comments Accepted at EMNLP 2023

Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations

Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, Seyed Abolghasem Mirroshandel, Owen Rambow

Journal ref Findings of EMNLP 2023

CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL

Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti

Comments To appear at EMNLP 2023 (Main)

Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering

Kang-il Lee, Segwang Kim, Kyomin Jung

Comments EMNLP 2023

Revisiting the Knowledge Injection Frameworks

Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao

Comments 9 pages, 6 figures, accepted by EMNLP 2023 Main

Discovering Universal Geometry in Embeddings with ICA

Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira

Comments 29 pages, EMNLP 2023

Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization

Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao

Comments Accepted at EMNLP 2023

Norm of Word Embedding Encodes Information Gain

Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira

Comments 23 pages, EMNLP 2023

Improving word mover's distance by leveraging self-attention matrix

Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira

Comments 24 pages, accepted to EMNLP 2023 Findings

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance

Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li

Comments EMNLP Findings 2023

Task-Agnostic Low-Rank Adapters for Unseen English Dialects

Zedian Xiao, William Held, Yanchen Liu, Diyi Yang

Comments EMNLP 2023

Self-Influence Guided Data Reweighting for Language Model Pre-training

Megh Thakkar, Tolga Bolukbasi, Sriram Ganapathy, Shikhar Vashishth, Sarath Chandar, Partha Talukdar

Comments Accepted to EMNLP 2023

Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?

Yuwei Bao, Keunwoo Peter Yu, Yichi Zhang, Shane Storks, Itamar Bar-Yossef, Alexander De La Iglesia, Megan Su, Xiao Lin Zheng, Joyce Chai

Comments Accepted to EMNLP 2023 Findings

Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation

Tianqi Zhong, Quan Wang, Jingxuan Han, Yongdong Zhang, Zhendong Mao

Comments Accepted as an EMNLP 2023 main paper

QUDEVAL: The Evaluation of Questions Under Discussion Discourse Parsing

Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li

Comments Camera Ready for EMNLP Main Conference

Towards Legally Enforceable Hate Speech Detection for Public Forums

Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan

Comments 8 pages; Accepted to the Findings of EMNLP 2023

Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting

William Hogan, Jiacheng Li, Jingbo Shang

Comments 10 pages, 6 figures

Journal ref EMNLP 2023