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Love this * attacker can inject backdoors by issuing very few malicious instructions among thousands of gathered data * attacker can achieve > 90% success * instruction attacks show resistance to existing inference-time defense Any mTurker has control! arxiv.org/abs/2305.14710

Excited to announce our NeurIPS paper on for querying KGs and improving logical inference! Traditional approaches mainly focus on entity KGs, but in the real world, we need to reason about events, states, and activities too. #NeurIPS2023 #KnowledgeGraphs #LogicalInference

It's super exciting to meet a lot of my "idols" in EMNLP'23. I even had chances to talk with some of them. What a great event!

Most people in our group are attending EMNLP2023. Feel free to ping them! #EMNLP2023

Check our new paper

So far there are quite a few scaling law papers; almost all of them use different function forms for the same loss, yet all the curve fitting look quite well. I'll buy a coffee for someone who writes a blog comparing all the scaling laws and suggesting the most reasonable one 🤔

Learning from interaction is different from learning from annotations. Today we are excited to share how we are starting to learn from people's interactions to understand and improve Copilot (web) for our consumer customers: microsoft.com/en-us/research… #Microsoft #Copilot #Bing

🚩Exciting foundational work towards building an ever-improving interactive agent: - Identifying user intents/tasks and - Inferencing user satisfaction Both from unstructured chat logs are necessary first-steps for self-improving. Esp. found this fig of how ppl are actually

Check out our new WWW 2024 Tutorial on New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends where we have discussed many interesting new things happening in the field of knowledge graphs #webconf #knowledgegraph #KG The Web Conference Zihao Wang Jiaxin Bai

In particular, I have discussed the three dimensions of the new development of knowledge graphs

🎉Our work is accepted by ACL 2024: AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. While previous evaluations show that LLMs lack abstraction ability, do LLMs already own a lot of abstraction knowledge? The answer is

COLING is just a couple of days from now. Come to our workshop on Tuesday. We will have four great invited talks! Looking forward to learning from Pascale Fung, Juanzi Li, Alessandro Lenci and Volker Tresp LREC COLING 2024

It’s getting started😄

I have just got my abductive knowledge graph reasoning paper accept by acl24, and I really have some sights to share. In this paper, we try to explain observations by using a complex logical expression formed by the knowledge inside a knowledge graph. Seems very abstract? Here

🚀 Thrilled to announce our paper "Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?" has been accepted at #ACL2024! 🎉 We explored whether multi-agent discussions truly outperform single agents in LLM reasoning, an area largely unexamined.

What kind of research should I do in the era of LLMs? Nowadays, some people get so excited to work on LLMs and the other feel so suffering as they don't have GPU cards to work on LLMs. IMHO, there are two ways to think about this: (1) What LLMs cannot do and (2) What LLMs have

Check out our ACL 2024 paper Complex Commonsense Reasoning over Logical Queries on Commonsense Knowledge Graphs (arxiv.org/pdf/2403.07398). The poster session will be 13 August (Tuesday) 4pm! Come and say Hi #NLProc #ACL2024

This is one of the best ACL conferences that I have attended. Many reflections, kind people, open-minded people, interesting topics, etc. Particularly for my research on new kinds of knowledge graph/base construction on events/states/intentions/beliefs, this is the only