Grateful to Martin @ziqiao_ma for the invitation to join this ACL Mentorship panel.
I hope I can bring the perspective of those of us still early in our PhD journeys.
I’d love to hear from other students and early-career NLP researchers: what questions or concerns would you want us to discuss for this topic? Feel free to comment or DM me, and I’ll try to bring your questions to the panel!
📢 Join us for the ACL Mentorship Session
@aclmeeting#ACL2026NLP
Location: Grand Hall Foyer - Level 1
We’re excited to have an amazing group of mentors joining us:
@Lianhuiq@ManlingLi_@zhaofeng_wu@SihangZhao@shannonzshen@ziqiao_ma
We’re also launching a new initiative to connect mentors and mentees across the AI/NLP community! If you’re interested in participating, sign up here:
🔗 https://t.co/CEqWQ2ixsp
My first work in PhD study is accepted as oral presentation @aclmeeting !
We take the first step towards unifying and formalizing safe, helpful and pedagogical behaviors with knowledge‑mastery graphs for educational LLMs.
Meet me at Oral Session C: NLP Applications 2, July 5!
This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.
More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:
1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations
Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu
There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.
TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.
@claudeai@DarioAmodei Same thing happened to me. My account has been suspended twice (included an https://t.co/pwSim4Te7p account), no warning, no explanation, all dialogue just gone. And support team repeatedly replied they are unable to confirm the reasons.
Anthropic shut down an entire company's Claude access overnight
60+ employees. No explanation. Just an email.
Want to appeal? Fill out a Google Form.
Integrations gone. Histories gone. Everything built on Claude... gone.
Never let one vendor own your workflow.
The gap between people’s abilities will be defined by how proactively they use these resources. Maybe we are witnessing the biggest paradigm shift in education in the whole human history.
I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.
🧐Are values in LLMs aligned with humans? 1️⃣
And if they are — do LLMs stay honest to those values, or sometimes say one thing but act another? 2️⃣
✨ We explore these questions in two papers presented at #EMNLP2025:
1️⃣ ValueCompass: https://t.co/oN2p9yciqY (WiNLP Workshop)
2️⃣ Mind the Value–Action Gap: https://t.co/TGi8oZ1RSl (Main Track)
🔍 Dataset & Code: https://t.co/CxTfTNiMVF
🌱 I’m also #Hiring multiple PhD students for Fall 2026 @ NYU Courant Computer Science!
If you’re passionate about #Human_AI_Alignment, #Value_Alignment, or broad #AI + #Human (society) research, let’s connect at EMNLP2025, NeurIPS2025, or over Zoom!
🎓 NYU CS PhD Apply (NYU Shanghai Track): https://t.co/wjazsiwub8
💜 This year I’m also co-organizing the #EMNLP2025 WiNLP Workshop and supporting the amazing #Tutorial on Spoken Conversational Agents with LLMs (a short 15min talk)!
Come say hi 👋 — I’d love to chat and connect with old and new friends at #EMNLP2025!
🔗 WiNLP Workshop: https://t.co/1XvgLfPKMl
🔗Tutorial on Spoken Conversational Agents: https://t.co/rpVYqwXxBq
💗Huge thanks to my wonderful paper collaborators — @tanmit,@YunHuang_HCI,@tknearem,@reshmigh,Nicholas Clark,Yu-Ju Yang — and my inspiring workshop/tutorial collaborators @huckiyang, Andreas Stolcke,@TYSSSantosh2,@therealthapa,@MeryemMhamdi1,Chen Zhang, Peerat Limkonchotiwat, Wiem Ben Rim.... 🤗Truly grateful and enjoyable to work with you all! 💫
#HumanAIAlignment #PhDOpening #NYU #NYUShanghai #ValueAlignment #HAI
Can LLMs reason like a student? 👩🏻🎓📚✏️
For educational tools like AI tutors, modeling how students make mistakes is crucial.
But current LLMs are much worse at simulating student errors ❌ than performing correct ✅ reasoning.
We try to fix that with our method MISTAKE 🤭👇