1 citations · 2 across the 5 of their papers we have counts for
5 papers
Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers
Haoyu Wang, Yuliang Song, Tao Li +5
Large Language Models (LLMs) struggle to solve complex combinatorial problems through direct reasoning, so recent neuro-symbolic systems increasingly use them to synthesize executa…
Influential Language Data Selection via Gradient Trajectory Pursuit
Zhiwei Deng, Tao Li, Yang Li
Curating a desirable dataset for training has been the core of building highly capable large language models (Touvron et al., 2023; Achiam et al., 2023; Team et al.,2024). Gradient…
Devil's Advocate: Anticipatory Reflection for LLM Agents
Haoyu Wang, Tao Li, Zhiwei Deng +2
In this work, we introduce a novel approach that equips LLM agents with introspection, enhancing consistency and adaptability in solving complex tasks. Our approach prompts LLM age…
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
Zhiwei Deng, Ting Chen, Yang Li
Human visual recognition system shows astonishing capability of compressing visual information into a set of tokens containing rich representations without label supervision. One c…
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Tao Li, Gang Li, Zhiwei Deng +2
Large language models (LLMs) have shown increasing capacity at planning and executing a high-level goal in a live computer environment (e.g. MiniWoB++). To perform a task, recent w…