Wenzhe Li Profile
Wenzhe Li

@WenzheLiTHU

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Ph.D. student @Princeton ECE Reinforcement Learning

Joined August 2021
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@WenzheLiTHU
Wenzhe Li
2 months
Excited to share our recent work LLM Economist! Generative agents can be a powerful tool to simulate and empower social decision makingšŸš€.
@sethkarten
Seth Karten
2 months
šŸš€ New preprint! .šŸ¤” Can one agent ā€œnudgeā€ a synthetic civilization of Census‑grounded agents toward higher social welfare—all by optimizing utilities in‑context? Meet the LLM Economist ↓
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@WenzheLiTHU
Wenzhe Li
2 months
RT @kaiqu_liang: šŸ¤” Feel like your AI is bullshitting you? It’s not just you. 🚨 We quantified machine bullshit šŸ’©. Turns out, aligning LLMs….
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@WenzheLiTHU
Wenzhe Li
5 months
RT @chijinML: Group hike through the pine trees in Wharton State Forest šŸŒ²šŸƒ
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@WenzheLiTHU
Wenzhe Li
6 months
RT @sethkarten: Can a Large Language Model (LLM) with zero PokĆ©mon-specific training achieve expert-level performance in competitive PokĆ©mo….
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@WenzheLiTHU
Wenzhe Li
7 months
RT @omarsar0: Rethinking Mixture-of-Agents. This work investigates whether mixing different LLMs is truly beneficial. They also propose Se….
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@WenzheLiTHU
Wenzhe Li
7 months
RT @Yong18850571: šŸš€ Introducing Goedel-Prover: A 7B LLM achieving SOTA open-source performance in automated theorem proving! šŸ”„. āœ… Improving….
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@WenzheLiTHU
Wenzhe Li
9 months
RT @zhezeng0908: šŸ“¢ I’m recruiting PhD students @CS_UVA for Fall 2025!.šŸŽÆ Neurosymbolic AI, probabilistic ML, trustworthiness, AI for science….
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zzeng.me
Assistant Professor
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@WenzheLiTHU
Wenzhe Li
11 months
RT @chijinML: Our team's LLM ensemble method ranked first on AlpacaEval 2.0!šŸš€ joint work with @WenzheLiTHU, Yong Lin, @xiamengzhou. More de….
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@WenzheLiTHU
Wenzhe Li
1 year
joint work with @Hanry65960814, @sethkarten, @chijinML. Chi will attend ICML in person!.
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@WenzheLiTHU
Wenzhe Li
1 year
While it is feasible to build a single-agent AI that is capable of passing through all 15 levels of the Street Fighter II game (as shown in our project page: , All these MARL methods can be exploited easily rather than learning exact NE policies.
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sites.google.com
Abstract Recent advances in reinforcement learning (RL) heavily rely on a variety of well-designed benchmarks, which provide environmental platforms and consistent criteria to evaluate existing and...
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@WenzheLiTHU
Wenzhe Li
1 year
Wondering how existing MARL algorithms perform in pure competitive settings? We will present FightLadder at ICML 2024, a competitive MARL benchmark based on popular fighting games, to evaluate them from a game-theoretic perspective:
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@WenzheLiTHU
Wenzhe Li
1 year
RT @chijinML: Ever wonder how to play multiplayer games (>2 players, such as Mahjong, Poker) well and what would be the ultimate solution?….
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