activity
20222026
most citedGLEE: A Unified Framework and Benchmark for Language-based Economic Environments

2 citations · 4 across the 14 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.LG2026

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

Eilam Shapira, Moshe Tennenholtz, Roi Reichart

AI agents negotiate and transact in natural language with unfamiliar counterparts: a buyer bot facing an unknown seller, or a procurement assistant negotiating with a supplier. In…

cs.LG2026

STRABLE: Benchmarking Tabular Machine Learning with Strings

Gioia Blayer, Myung Jun Kim, Félix Lefebvre +8

Benchmarking tabular learning has revealed the benefit of dedicated architectures, pushing the state of the art. But real-world tables often contain string entries, beyond numbers,…

cs.LG2026

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

Alan Arazi, Eilam Shapira, Shoham Grunblat +8

Tabular Foundation Models have recently established the state of the art in supervised tabular learning, by leveraging pretraining to learn generalizable representations of numeric…

cs.CL2026

Alignment Makes Language Models Normative, Not Descriptive

Eilam Shapira, Moshe Tennenholtz, Roi Reichart

Post-training alignment optimizes language models to match human preference signals, but this objective is not equivalent to modeling observed human behavior. We compare 120 base-a…

cs.CL2026

TabAgent: Distilling LLM Agent Components into Cheap Classifiers

Ido Levy, Eilam Shapira, Yinon Goldshtein +5

Agentic systems, AI architectures that autonomously execute multi-step workflows to achieve complex goals, are often built using repeated large language model (LLM) calls for close…

cs.CL2026

Textual Planning with Explicit Latent Transitions

Eliezer Shlomi, Ido Levy, Eilam Shapira +6

Planning requires a transition model that predicts how each action changes the current state. When a large language model (LLM) plays this role, every next state is generated token…

cs.GT2026

Sequential LLM Release Facilitates Manipulation in Regulated Markets

Eilam Shapira, Moshe Tennenholtz, Roi Reichart

AI agents increasingly mediate bargaining, negotiation and persuasion for people and firms. Such markets extend software-mediated commerce, but add a governance problem: independen…