Six Papers Accepted to EMNLP 2026 and Findings of EMNLP 2026

The 2026 Conference on Empirical Methods in Natural Language Processing

EMNLP 2026 Main Conference

• Sungwoo Han, Jingun Kwon, Hidetaka Kamigaito, Manabu Okumura. Implicit Unwatermarking in Pseudo-Reference Reranking for LLM Watermarking.
• Ailiang Lin, Zhuoyun Li, Yusong Wang, Keyu Mao, Kotaro Funakoshi, Manabu Okumura. ReverseEOL: Improving Training-free Text Embeddings via Text Reversal in Decoder-only LLMs.
• Michiro Asai, Ailiang Lin, Yu Kishimoto, Takao Obi, Satoshi Kosugi, Kotaro Funakoshi, Manabu Okumura. Can LLMs Be Constrained to the Past? Improving Knowledge Cutoff through Recall-Based Prompting.
• Masayuki Kawarada, Tsutomu Hirao, Manabu Okumura. Structure-Aware Data Augmentation for Argument Mining.
• Soichiro Murakami, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura. Who Laughs with Whom? Disentangling Influential Factors in Humor Preferences across User Clusters and LLMs.

Findings of EMNLP 2026

• Jianzhi Shen, Keyu Mao, Minghao Shao, Chuanyang Jin, Yusong Wang, Ailiang Lin, Kotaro Funakoshi, Manabu Okumura, Muhammad Shafique. HyperTrace: Hypothesis-Based Preference Tracing for Online LLM Personalization.