Yu Feng
@AnnieFeng6
CS PhD Student @Penn | NLP & ML @cogcomp @upennnlp @duke_nlp @ RUC | 🧗🏻♀️🎨🩰🎹
#ICLR2025 Oral LLMs often struggle with reliable and consistent decisions under uncertainty 😵💫 — largely because they can't reliably estimate the probability of each choice. We propose BIRD 🐦, a framework that significantly enhances LLM decision making under uncertainty. BIRD…
🚀Excited to introduce BOW: A novel RL framework that rethinks vanilla next-word prediction as reasoning path exploration! Across 10 benchmarks, we show BOW leads to better zero-shot capabilities and next-word reasoning. 📄Paper: arxiv.org/pdf/2506.13502 🧵Details below
👥 We’re looking for reviewers for the COLM 2025 Workshop on AI Agents: Capabilities & Safety @COLM_conf! 🔗 Sign up: forms.gle/5vHzyGxjUgSMNK… Help shape exciting research on AI agents, their capabilities, and the safety challenges they raise. 🧠 #AI #AIagents #COLM2025…
🚨COLM 2025 Workshop on AI Agents: Capabilities and Safety @COLM_conf This workshop explores AI agents’ capabilities—including reasoning and planning, interaction and embodiment, and real-world applications—as well as critical safety challenges related to reliability, ethics,…
🤖💬 Herding instincts… in AIs? Yes, even LLMs can follow the crowd! • 📉 Conformity ↑ when agents lack confidence but trust peers • 🧠 Presentation format shapes peer influence • 🎯 Controlled herding can boost collaboration outcomes 👉 Read more: arxiv.org/abs/2505.21588
🚨COLM 2025 Workshop on AI Agents: Capabilities and Safety @COLM_conf This workshop explores AI agents’ capabilities—including reasoning and planning, interaction and embodiment, and real-world applications—as well as critical safety challenges related to reliability, ethics,…
Excited to share our papers at #ICLR2025 in Singapore! Check out the summaries on our blog (ccgblog.seas.upenn.edu/2025/04/ccg-pa…), and then check out the papers at oral session 1B (BIRD) and poster session 2 (for all three)! @AnnieFeng6, @XingyuFu2, @BenZhou96, @muhao_chen, @DanRothNLP
Excited to share work from my @togethercompute internship—a deep dive into inference‑time scaling methods 🧠 We rigorously evaluated verifier‑free inference-time scaling methods across both reasoning and non‑reasoning LLMs. Some key findings: 🔑 Even with huge rollout budgets,…
Can GPT-4V and Gemini-Pro perceive the world the way humans do? 🤔 Can they solve the vision tasks that humans can in the blink of an eye? 😉 tldr; NO, they are far worse than us 💁🏻♀️ Introducing BLINK👁 zeyofu.github.io/blink/, a novel benchmark that studies visual perception…
BLINK Multimodal Large Language Models Can See but Not Perceive We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations. Most of the Blink tasks can be solved by humans
BLINK Multimodal Large Language Models Can See but Not Perceive We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations. Most of the Blink tasks can be solved by humans