ACL 2026 opens in San Diego with an LLM-focused program

ACL 2026 is running in San Diego this week with a program that treats the LLM era as its organizing question rather than a subplot. The conference overview has tutorials on July 1-2, workshops on July 3-4, and the main conference from July 5 through July 7, with tracks split across Main Conference, Findings, Industry Track, System Demonstrations, CL Papers, TACL Papers, and the Student Research Workshop.

The keynote lineup reads less like a survey of the field and more like a bet on where the interesting friction is. Philip Resnik of the University of Maryland opened Sunday. Today, Yue Zhang of Westlake University and Tania Lombrozo of Princeton give the two Monday keynotes, and Barbara Plank of LMU Munich delivers the Presidential Address in the afternoon. The organizers pair those talks with a Linguistics Symposium titled "Linguistics and NLP in the LLM Era," which is about as direct a framing of the year's meta-question as you get in a program title.

The most on-the-nose event of the week is probably Monday's panel, "Explainability of LLMs: Academic vs Industry Perspective," moderated by Julian McAuley of UCSD, with Tal Linzen (NYU/Google), Sameer Singh (UCI/Spiffy AI), and Kamalika Das (Intuit). Pair it with Sunday's student-focused panel, "The Next Big Questions in NLP: What Should Students Work On?", chaired by Juan Diego Rodriguez with Jordan Boyd-Graber, Yulia Tsvetkov, Iryna Gurevych, and Preslav Nakov on the panel, and the program is openly asking what an ACL research agenda even looks like now.

The honest caveat is that the overview page mostly gives you dates, rooms and speaker names. It does not surface accepted-paper counts, submission numbers, or a track-by-track breakdown, so anyone trying to read the field's temperature from ACL 2026 will need those numbers from elsewhere. What the page does show is a program willing to spend two panel slots and a symposium on what NLP research is for in an LLM-shaped field, which is a more interesting signal than any single best-paper award.